This paper introduces the basic design of a novel neuroscientific device named Creativity Monitoring Device, CMD, able to provide new insights into the brain mechanisms of artistic, scientific and engineering creative acts. The novelty of the device is threefold. First, it allows the artifact-free recording of association cortical EEG waves during such creative acts as painting artistic visions, composing music, running novel experiments in a laboratory or working on an engineering invention. Second, it allows the synchronous monitoring of the sounds and visual events in the environment of such actions along with the artist’s, scientist’s or engineer’s verbal and non-verbal interactions with this environment and his or her own notes on the engaged creative phase. Third, it allows the offline analysis of the synchronously collected EEG and audio-visual data with the new method of dynamic neurocombinatorics, which can reveal at 2 msec accuracy the relationships between the recorded objects of 5 sets: (1) the spatial occurrence codes of the recorded association cortical EEG waves; (2) the complexity codes of each of the recorded 0.2 - 200 Hz EEG waves; (3) the codes of the synchronously recorded environmental events including those of the subject’s verbal and non-verbal interactions with this environment; (4) the subject’s own dictated notes identifying the phase of the engaged creative act, and (5) the time-course of these continuously recorded objects within each of the indicated sets over the entire, at least 10-hour, creativity monitoring period. Thus, CMD studies should reveal the key electrical brain changes underlying the initiation, maintenance and termination of creative acts and should show the similarities and differences between artistic, scientific and engineering creativities.
A brain-computer interface (BCI), sometimes called a mind-machine interface (MMI), or sometimes called a direct neural interface (DNI), synthetic telepathy interface (STI) or a brain-machine interface (BMI), is a direct communication pathway between the brain and an external device. BCIs are often directed at assisting, augmenting, or repairing human cognitive or sensory-motor functions.Research on BCIs began in the 1970s at the University of California Los Angeles (UCLA) under a grant from the National Science Foundation, followed by a contract from DARPA.[1][2] The papers published after this research also mark the first appearance of the expression brain-computer interface in scientific literature.The field of BCI research and development has since focused primarily on neuroprosthetics applications that aim at restoring damaged hearing, sight and movement. Thanks to the remarkable cortical plasticity of the brain, signals from implanted prostheses can, after adaptation, be handled by the brain like natural sensor or effector channels.[3] Following years of animal experimentation, the first neuroprosthetic devices implanted in humans appeared in the mid-1990s.
Brain-computer interface (BCI) is a collaboration between a brain and a device that enables signals from the brain to direct some external activity, such as control of a cursor or a prosthetic limb. The interface enables a direct communications pathway between the brain and the object to be controlled
This presentation is given in (2015) . As the power of modern computers grows alongside our understanding of the human brain, we move ever closer to making some pretty spectacular science fiction into reality.
This presentation lists some brain-computer interface technologies that exist today and that could be attainable in future. At the end, philosophical comments about this kind of technology and transhumanism are purposed, in order to reveal the key difference between a humain brain and artificial intelligence.
A Brain computer interface is the direct communication pathway between wired brain and external device.
Brainware University
https://www.brainwareuniversity.ac.in/
A brain-computer interface (BCI), sometimes called a mind-machine interface (MMI), or sometimes called a direct neural interface (DNI), synthetic telepathy interface (STI) or a brain-machine interface (BMI), is a direct communication pathway between the brain and an external device. BCIs are often directed at assisting, augmenting, or repairing human cognitive or sensory-motor functions.Research on BCIs began in the 1970s at the University of California Los Angeles (UCLA) under a grant from the National Science Foundation, followed by a contract from DARPA.[1][2] The papers published after this research also mark the first appearance of the expression brain-computer interface in scientific literature.The field of BCI research and development has since focused primarily on neuroprosthetics applications that aim at restoring damaged hearing, sight and movement. Thanks to the remarkable cortical plasticity of the brain, signals from implanted prostheses can, after adaptation, be handled by the brain like natural sensor or effector channels.[3] Following years of animal experimentation, the first neuroprosthetic devices implanted in humans appeared in the mid-1990s.
Brain-computer interface (BCI) is a collaboration between a brain and a device that enables signals from the brain to direct some external activity, such as control of a cursor or a prosthetic limb. The interface enables a direct communications pathway between the brain and the object to be controlled
This presentation is given in (2015) . As the power of modern computers grows alongside our understanding of the human brain, we move ever closer to making some pretty spectacular science fiction into reality.
This presentation lists some brain-computer interface technologies that exist today and that could be attainable in future. At the end, philosophical comments about this kind of technology and transhumanism are purposed, in order to reveal the key difference between a humain brain and artificial intelligence.
A Brain computer interface is the direct communication pathway between wired brain and external device.
Brainware University
https://www.brainwareuniversity.ac.in/
Brain Computer Interface Next Generation of Human Computer InteractionSaurabh Giratkar
In the area of HCI research the main focus is on defining new ways of human interaction with computer system. With the passes of time a number of inventions have been made in this field. In initial days we used only keyboards to access our computer system (e.g. in Unix Terminal). In Second phase, after invention of mouse and other pointing devices, we started using graphical user interface using pointing devices like mouse which make the use of computer more easy and comfortable. Nowadays we are using pressure-driven mechanism, i.e. touch screen, which is common at ATMs, Mobile phones and PDAs etc. Although it is not as common in daily works but the release of tablet PCs and its popularity shows that the day is not much far when we wouldn’t be having keyboards and mouse at all.
All of these inventions have been made for balancing the requirements of society and user. E.g. Games, Multimedia Applications etc are not possible using only-Keyboard so we need mouse driven system for such applications, similarly we cannot have large keyboard on mobile so we need a touch screen system for mobiles. In addition to these traditional HCI models, there are some more advance HCI technology too for adding more flexibility and hence making the product more useful. E.g. swap card system at office doors for attendance and ATM-swap card for shopping. Speech processing systems are also there where we can access our computer system using our speech. Fig 1 shows most popular traditional HCI system.
A LOW COST EEG BASED BCI PROSTHETIC USING MOTOR IMAGERY ijitcs
Brain Computer Interfaces (BCI) provide the opportunity to control external devices using the brain
ElectroEncephaloGram (EEG) signals. In this paper we propose two software framework in order to
control a 5 degree of freedom robotic and prosthetic hand. Results are presented where an Emotiv
Cognitive Suite (i.e. the 1st framework) combined with an embedded software system (i.e. an open source
Arduino board) is able to control the hand through character input associated with the taught actions of
the suite. This system provides evidence of the feasibility of brain signals being a viable approach to
controlling the chosen prosthetic. Results are then presented in the second framework. This latter one
allowed for the training and classification of EEG signals for motor imagery tasks. When analysing the
system, clear visual representations of the performance and accuracy are presented in the results using a
confusion matrix, accuracy measurement and a feedback bar signifying signal strength. Experiments with
various acquisition datasets were carried out and with a critical evaluation of the results given. Finally
depending on the classification of the brain signal a Python script outputs the driving command to the
Arduino to control the prosthetic. The proposed architecture performs overall good results for the design
and implementation of economically convenient BCI and prosthesis.
Elective Neural Networks. II. The orthogonal brain. On a Heuristic Point ...ABINClaude
This two-part article proposes a new approach to understanding neuronal mechanisms, still unexplained despite the immense progress in neuroscience since the 1940s.
The first part ("The boolean brain") first presents a brief history of the steps leading to the Convolutional Networks that now rival the performance of the human visual system. The biological plausibility of these networks is examined, leading to the paradoxical conclusion that McCulloch and Pitts' logic model was a correct approach and that it has been underestimated.
A new model of neural networks, the Elective Neural Networks (ENN), is proposed on this basis, inspired by the Theory of Epigenesis by selective stabilization of synapses (Changeux et al., 1973) [1], and equipped with a logical learning mechanism by synapse elimination. Its capacity to form large-sized networks is examined, taking into account connectivity constraints, and its biological plausibility is defended, including the issue of the binary synapse.
The second part ("The orthogonal brain") proposes a neuronal mechanism with an explanation of the learning curve in a classical conditioning: the proboscis extension reflex in the Apis Mellifera bee. A reinforcement learning mechanism is added to the ENN model, applying to both classical and operant conditioning. A general hypothesis on the implementation of effectors control in a brain is deduced, in which no individual synapse is genetically programmed.
The slide format was chosen for this paper because of its ability to represent complex dynamic phenomena.
Artificial intelligence turns brain activity into speechusmsystems
Artificial intelligence turns brain activity into speech for most people who are frozen and unable to speak, the signals for what they want to say hide in their brains. No one could interpret those signs directly. But three research groups have recently made progress in transforming data from electrodes placed on the brain into computer-generated speech. Using computational models called neural networks, they have, in some cases, reconstructed words and sentences that are understandable to human listeners.
See latest version (10/21/15) at http://www.slideshare.net/markgirc/wfs-az-todays-gadgets-emerging-technology-innovations-102115 (or http://bit.ly/1GrghpU) given to the World Future Society Arizona on Back to the Future Day.
Today’s Gadgets & Emerging Technology Innovations 6/18/14:
In a presentation to the Society for Information Management (SIM) Arizona, Mark Goldstein showcased the latest and greatest new tech gadgets for business effectiveness, personal productivity, improving quality of living, and just plain fun. He shared a forward-looking view of emerging technology innovations and analysis of what they portent for information technology professionals, evolving market opportunities, and society at large from the present on into our future. Contemporary science fiction and that of the past often influences and anticipates the technological advances we see today and what we hope and fear for tomorrow. View/download and share a rollicking ride through the technology roller coaster of our times.
This word file consists of a detailed introduction to the brain computer interface technology which is still a sophisticated technology. You can find its PPT under the heading "Brain Computer Interface PPT".
The Virtual brain or machine which can function like human brain, which would work even after death of the human is called the blue brain.
Under this topic the functionalities of the blue brain, its advantages and disadvantages, what actually a virtual brain is etc is being covered.
We are taking the paper presentation of Blue brain technology concept here we include the definition of blue brain, How
it is possible? , Uploading human brain, what is virtual brain, function of a brain, advantages and disadvantages of blue brain
technology? With the advancement in technology, human, the ultimate source of information and discovery should also be preserved.
In other words, human is does not live for thousands of years but the information in his mind could be saved and used for several
thousands of years. So, even after the death of a person we will not lose the knowledge, intelligence, personalities, feelings and
memories of that man that can be used for the development of the human society.
Neurohacking is the colloquial term for (usually personal or 'DIY') neuroengineering. It is a form of biohacking (qv) focusing on the brain and CNS. Strictly speaking it is any method of manipulating or interfering with the structure and/or function of neurons for improvement or repair.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
More Related Content
Similar to A Creativity Monitoring Device (CMD) for New Insight into the Brain Mechanisms of Artistic, Scientific and Engineering Creative Acts
Brain Computer Interface Next Generation of Human Computer InteractionSaurabh Giratkar
In the area of HCI research the main focus is on defining new ways of human interaction with computer system. With the passes of time a number of inventions have been made in this field. In initial days we used only keyboards to access our computer system (e.g. in Unix Terminal). In Second phase, after invention of mouse and other pointing devices, we started using graphical user interface using pointing devices like mouse which make the use of computer more easy and comfortable. Nowadays we are using pressure-driven mechanism, i.e. touch screen, which is common at ATMs, Mobile phones and PDAs etc. Although it is not as common in daily works but the release of tablet PCs and its popularity shows that the day is not much far when we wouldn’t be having keyboards and mouse at all.
All of these inventions have been made for balancing the requirements of society and user. E.g. Games, Multimedia Applications etc are not possible using only-Keyboard so we need mouse driven system for such applications, similarly we cannot have large keyboard on mobile so we need a touch screen system for mobiles. In addition to these traditional HCI models, there are some more advance HCI technology too for adding more flexibility and hence making the product more useful. E.g. swap card system at office doors for attendance and ATM-swap card for shopping. Speech processing systems are also there where we can access our computer system using our speech. Fig 1 shows most popular traditional HCI system.
A LOW COST EEG BASED BCI PROSTHETIC USING MOTOR IMAGERY ijitcs
Brain Computer Interfaces (BCI) provide the opportunity to control external devices using the brain
ElectroEncephaloGram (EEG) signals. In this paper we propose two software framework in order to
control a 5 degree of freedom robotic and prosthetic hand. Results are presented where an Emotiv
Cognitive Suite (i.e. the 1st framework) combined with an embedded software system (i.e. an open source
Arduino board) is able to control the hand through character input associated with the taught actions of
the suite. This system provides evidence of the feasibility of brain signals being a viable approach to
controlling the chosen prosthetic. Results are then presented in the second framework. This latter one
allowed for the training and classification of EEG signals for motor imagery tasks. When analysing the
system, clear visual representations of the performance and accuracy are presented in the results using a
confusion matrix, accuracy measurement and a feedback bar signifying signal strength. Experiments with
various acquisition datasets were carried out and with a critical evaluation of the results given. Finally
depending on the classification of the brain signal a Python script outputs the driving command to the
Arduino to control the prosthetic. The proposed architecture performs overall good results for the design
and implementation of economically convenient BCI and prosthesis.
Elective Neural Networks. II. The orthogonal brain. On a Heuristic Point ...ABINClaude
This two-part article proposes a new approach to understanding neuronal mechanisms, still unexplained despite the immense progress in neuroscience since the 1940s.
The first part ("The boolean brain") first presents a brief history of the steps leading to the Convolutional Networks that now rival the performance of the human visual system. The biological plausibility of these networks is examined, leading to the paradoxical conclusion that McCulloch and Pitts' logic model was a correct approach and that it has been underestimated.
A new model of neural networks, the Elective Neural Networks (ENN), is proposed on this basis, inspired by the Theory of Epigenesis by selective stabilization of synapses (Changeux et al., 1973) [1], and equipped with a logical learning mechanism by synapse elimination. Its capacity to form large-sized networks is examined, taking into account connectivity constraints, and its biological plausibility is defended, including the issue of the binary synapse.
The second part ("The orthogonal brain") proposes a neuronal mechanism with an explanation of the learning curve in a classical conditioning: the proboscis extension reflex in the Apis Mellifera bee. A reinforcement learning mechanism is added to the ENN model, applying to both classical and operant conditioning. A general hypothesis on the implementation of effectors control in a brain is deduced, in which no individual synapse is genetically programmed.
The slide format was chosen for this paper because of its ability to represent complex dynamic phenomena.
Artificial intelligence turns brain activity into speechusmsystems
Artificial intelligence turns brain activity into speech for most people who are frozen and unable to speak, the signals for what they want to say hide in their brains. No one could interpret those signs directly. But three research groups have recently made progress in transforming data from electrodes placed on the brain into computer-generated speech. Using computational models called neural networks, they have, in some cases, reconstructed words and sentences that are understandable to human listeners.
See latest version (10/21/15) at http://www.slideshare.net/markgirc/wfs-az-todays-gadgets-emerging-technology-innovations-102115 (or http://bit.ly/1GrghpU) given to the World Future Society Arizona on Back to the Future Day.
Today’s Gadgets & Emerging Technology Innovations 6/18/14:
In a presentation to the Society for Information Management (SIM) Arizona, Mark Goldstein showcased the latest and greatest new tech gadgets for business effectiveness, personal productivity, improving quality of living, and just plain fun. He shared a forward-looking view of emerging technology innovations and analysis of what they portent for information technology professionals, evolving market opportunities, and society at large from the present on into our future. Contemporary science fiction and that of the past often influences and anticipates the technological advances we see today and what we hope and fear for tomorrow. View/download and share a rollicking ride through the technology roller coaster of our times.
This word file consists of a detailed introduction to the brain computer interface technology which is still a sophisticated technology. You can find its PPT under the heading "Brain Computer Interface PPT".
The Virtual brain or machine which can function like human brain, which would work even after death of the human is called the blue brain.
Under this topic the functionalities of the blue brain, its advantages and disadvantages, what actually a virtual brain is etc is being covered.
We are taking the paper presentation of Blue brain technology concept here we include the definition of blue brain, How
it is possible? , Uploading human brain, what is virtual brain, function of a brain, advantages and disadvantages of blue brain
technology? With the advancement in technology, human, the ultimate source of information and discovery should also be preserved.
In other words, human is does not live for thousands of years but the information in his mind could be saved and used for several
thousands of years. So, even after the death of a person we will not lose the knowledge, intelligence, personalities, feelings and
memories of that man that can be used for the development of the human society.
Neurohacking is the colloquial term for (usually personal or 'DIY') neuroengineering. It is a form of biohacking (qv) focusing on the brain and CNS. Strictly speaking it is any method of manipulating or interfering with the structure and/or function of neurons for improvement or repair.
Similar to A Creativity Monitoring Device (CMD) for New Insight into the Brain Mechanisms of Artistic, Scientific and Engineering Creative Acts (20)
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
A Creativity Monitoring Device (CMD) for New Insight into the Brain Mechanisms of Artistic, Scientific and Engineering Creative Acts
1. International Journal on Cybernetics & Informatics (IJCI) Vol.13, No.3, June 2024
Bibhu Dash et al: SCDD -2024
pp. 11-15, 2024. IJCI – 2024 DOI:10.5121/ijci.2024.130302
A CREATIVITY MONITORING DEVICE
(CMD) FOR NEW INSIGHT INTO THE
BRAIN MECHANISMS OF ARTISTIC,
SCIENTIFIC AND ENGINEERING
CREATIVE ACTS
Nandor Ludvig
Translational Neuroscience Consultation, Astoria, New York, USA
ABSTRACT
This paper introduces the basic design of a novel neuroscientific device named Creativity
Monitoring Device, CMD, able to provide new insights into the brain mechanisms of
artistic, scientific and engineering creative acts. The novelty of the device is threefold.
First, it allows the artifact-free recording of association cortical EEG waves during such
creative acts as painting artistic visions, composing music, running novel experiments in a
laboratory or working on an engineering invention. Second, it allows the synchronous
monitoring of the sounds and visual events in the environment of such actions along with
the artist’s, scientist’s or engineer’s verbal and non-verbal interactions with this
environment and his or her own notes on the engaged creative phase. Third, it allows the
offline analysis of the synchronously collected EEG and audio-visual data with the new
method of dynamic neurocombinatorics, which can reveal at 2 msec accuracy the
relationships between the recorded objects of 5 sets: (1) the spatial occurrence codes of the
recorded association cortical EEG waves; (2) the complexity codes of each of the recorded
0.2 - 200 Hz EEG waves; (3) the codes of the synchronously recorded environmental events
including those of the subject’s verbal and non-verbal interactions with this environment;
(4) the subject’s own dictated notes identifying the phase of the engaged creative act, and
(5) the time-course of these continuously recorded objects within each of the indicated sets
over the entire, at least 10-hour, creativity monitoring period. Thus, CMD studies should
reveal the key electrical brain changes underlying the initiation, maintenance and
termination of creative acts and should show the similarities and differences between
artistic, scientific and engineering creativities.
KEYWORDS
Artifact-free EEG headset, Wearable environment monitor, Dynamic Neurocombinatorics
1. INTRODUCTION
This document describes the basics of a novel neuroscience device, a Creativity Monitoring
Device, CMD, that should generate new insights into the brain mechanisms of artistic, scientific
and engineering acts. It is essentially the combination of a wearable EEG recording headset and
an audio-visual environment-monitor operating synchronously to generate an extensive,
multifaceted dataset during the creative work of artists, scientists and engineers in natural
conditions and absolute privacy for offline analysis with the new mathematics of dynamic
neurocombinatorics.
2. International Journal on Cybernetics & Informatics (IJCI) Vol.13, No.3, June 2024
12
Such studies have not been done, not even envisioned. Nancy C. Andreasen’s fundamental book
on creativity [1] discusses creativity-related psychological, neuroimaging and anatomical studies,
without expanding to the field of EEG examinations. Michio M. Kaku’s exploration of the future
of mind does mention informative EEG studies, but within the limits of research on telepathy,
dreams, memory and decision-making [2]. The 64 chapters of the last, 6th
, Edition of Eric R.
Kandel’s and his co-authors’ “Principles of Neural Science” does not include a chapter on the
brain mechanisms of creativity [3]. Perhaps our time’s leading EEG expert, György Buzsáki,
published a comprehensive description of the EEG phenomenon Sharp Wave Ripples (SPW-Rs)
and how these ripples may contribute to memory formation and “influence decisions, plan actions
and potentially, allow for creative thoughts.” Though not mentioning combined environmental
and EEG studies in natural conditions during the creative acts of artists, scientists, engineers or
others, nor data analysis with dynamic neurocombinatorics, Buzsáki did suggest the importance
of answering the question of whether SPW-Rs contribute to the “preconscious creative process by
linking never-before associated events.” [4]. Other investigators undertook the task of reviewing
EEG studies in creative people or performing such studies themselves [5 – 7], though these
studies have been short-term laboratory experiments very different from the daylong CMD
recordings in private settings proposed here. Still, such examinations during creative writing [8],
art making [9], imaginations [10], music playing [11] or idea generation [12] will once surely
reach the point when even geniuses like Paul McCartney, Sergey Brin, Katalin Karikó, Arundhati
Roy, Akiane Kramarik or Kazuo Ishiguro agree to provide humankind with insights into their
creativity with absolutely private and safe, environmentally coupled EEG recordings before,
during and after their inspirations.
2. GENERAL CMD DESIGN
The general design of the CMD is shown in Figure 1.
Figure 1. The EEG recording headset allowing the collection of artifact-free EEG signals is an advanced
version of the seizure detection headset patented by this author’s team [13].
3. International Journal on Cybernetics & Informatics (IJCI) Vol.13, No.3, June 2024
13
The headset can be installed by the subject at home, in privacy, by the ~20-minute use of a
removable helmet specially designed for this purpose [14]. The audio-video recorder is built in a
medallion [15], but it can be another wearable device. USB flash drives are used for accessing
the data without exposing the system to the risks of our time’s internet. For the sake of
simplicity, this system would first be used for 10-hour continuous data collection in daytime.
However, as experience is gained with the device, it could also be used for 24-hour more
sophisticated daytime/nighttime recordings, providing insight into the role of sleep in creativity.
As the figure indicates, the device would collect EEG data over 12 channels with 6 in the right
hemispheric and 6 in the left hemispheric association cortices, likely locations of creative neural
processes. The frequency of the recorded EEG waves would range from 0.2 to 200 Hz, with each
wave-frequency further characterized by the coded complexity of the wave-shape. The device’s
audio-visual recorder would collect coded data on the primary characteristics of the creative act’s
environment, such as its sounds, lights, layout of used and non-used furniture, machines,
instruments and decorations, the presence or absence of conversations and other interactions of
the subject. This audio-visual recorder would also be used for taking notes from the subject on
the phase of the creative process, whether it is related to preparations, inspirations, or the
execution of the prepared and inspired acts. While the mathematics of combinatorics – beyond
this author’s expertise – would be used for the off-line analysis of these data, qualifying for the
term “neurocombinatorics”, this analysis would also be a dynamic neurocombinatorics, as the
relationships between the recorded sets and their objects would critically include the course of
these relationships in time, over an at least 10-hour period.
3. FUTURE CMD PROJECTS
This author sees the first CMD study, a stepping stone for further related studies, as follows:
First, 4 groups are formed, each with a minimum of 6 experimental subjects. The first group
includes artists, either painters or writers or composers. Obviously, all selected subjects of this
group must do the same type of art. The second group includes scientists, either
neurophysiologists or molecular biologists or physicists. Again, all selected subjects of this
group must do the same type of science. The third group includes engineers, either
neuroengineers or architects or chemical engineers. Here also the selected subjects must be
engaged in the same type of engineering work. The fourth group is the control group, made of
sex- and age-matched men and women who went through college or even university education
but are not doing creative work. Ideally, the study should be run at the same time to exclude the
confounding effects of different seasons and political changes. Each subject is personally given a
CMD system, allowing a 2-3-hour demonstration of how to use the helmet to setting up the EEG
headset, how to electrically recharge the system if needed, how to make notes on the phase of the
creative act and how to start and finish the minimum 10-hour recording sessions. Once this is
done, the contributing artist, scientist or engineer can use the device whenever he or she feels the
time arrived for creative work in the very spiritual place of this activity for him or her, whether in
a studio, office or natural environment and whether the creative act is painting, composing music,
poetry or novel writing, working on a laboratory experiment or designing a new software or
device.
Once the critical first study on CMD use is done, interested investigators can expand on this
research by inviting different artists, scientists and engineers for subsequent studies and running
both daytime and nighttime recordings. The use of dynamic neurocombinatorics for data analysis
can surely undergo substantial improvements.
4. International Journal on Cybernetics & Informatics (IJCI) Vol.13, No.3, June 2024
14
4. CONCLUSIONS
This paper introduced the idea of a Creativity Monitoring Device, CMD, to provide new insights
into the brain mechanisms of artistic, scientific and engineering creative acts. The device allows
the artifact-free recording of association cortical EEG waves during such creative acts as painting
artistic visions, composing music, running novel experiments in a laboratory and working on an
engineering invention. The device also allows the synchronous monitoring of the sounds and
visual events in the environment of such actions along with the artist’s, scientist’s or engineer’s
verbal and non-verbal interactions with this environment and his or her own verbal notes on the
engaged creative phase – continuously for at least 10 hours. Offline analysis of the
synchronously collected EEG and audio-visual data would be performed with the new method of
dynamic neurocombinatorics, which can reveal the relationships between (a) the spatial
occurrences of the recorded EEG waves, (b) the complexity of each of the recorded waveshapes,
(c) the synchronously recorded environmental changes including the creative subject’s
interactions, (d) the subject’s own dictated notes identifying the phase of the engaged creative
act, and (e) the time-course of these continuously recorded data. Such studies should reveal the
electrical brain changes underlying the initiation, maintenance and termination of creative acts
and should show the similarities and differences between artistic, scientific and engineering
creativities.
ACKNOWLEDGEMENTS
This paper could not have been written without the original inspirations of my admired
physiology professors, the late Dr. Kálmán Lissák and the late Dr. Endre Grastyán, in my medical
school years back in Pécs, Hungary. Nor could it have been written without the few
unforgettable meetings with the late Hungarian filmmaker Zoltán Huszárik who let me
experience the soul of the genius. I am also indebted to my late surgery professor colleague and
friend Dr. John G. Kral for teaching me that believing in one’s capabilities is part of the creative
mind. It was my almost 20-year collaboration with such talented engineers as Lóránt Kovács,
MS; Géza Medveczky, MS; and Sándor Tóth, MS; that inspired me to envision neurodevices like
the one discussed in this article, knowing well that only expertise like theirs can translate such
visions to functioning products. The unwavering faith of my artist daughter Krista in my
scientific, philosophical and literary endeavours was key to conceive this paper.
REFERENCES
[1] Andreasen NC, (2005) The Creating Brain: The Neuroscience of Genius. Dana Press.
[2] Kaku M, (2014) The Future of the Mind: The Scientific Quest to Understand, Enhance and
Empower the Mind. Doubleday.
[3] Kandel ER, Koester JD, Mack SH, Siegelbaum SA, (2021) Principles of Neural Science, McGraw
Hill.
[4] Buzsaki Gy, (2015) Hippocampal Sharp Wave-Ripple: A Cognitive Biomarker for Episodic
Memory and Planning. Hippocampus Vol. 25, pp 1073-1188. https://doi.org/10.1002/hipo.22488
[5] Srinivasan N, (2007) Cognitive neuroscience of creativity: EEG based approaches. Methods Vol
42, pp 109-116. https://doi.org/10.1016/j.ymeth.2006.12.008
[6] Lopata JA, Nowicki EA, Joanisse MF, (2017) Creativity as a distinct trainable mental state: An
EEG study of musical improvisation. Neuropsychologia Vol 99, pp 246-258.
https://doi.org/10.1016/j.neuropsychologia.2017.03.020.
[7] Yin Y, Wang P, Childs PRN, (2022) Understanding creativity process through
electroencephalography measurement on creativity-related cognitive factors. Front Neurosci Vol.
16:951272. https://doi.org/10.3389/fnins.2022.951272
5. International Journal on Cybernetics & Informatics (IJCI) Vol.13, No.3, June 2024
15
[8] Cruz-Garza JG, Ravindran AS, Kopteva AE, Garza CR, Contreras-Vidal JL, (2020)
Characterization of the Stages of Creative Writing with mobile EEG Using Generalized
Partial Directed Coherence. Front Hum Neurosci Vol 14:577651.
https://doi.org/10.3389/fnhum.2020.577651
[9] Penzes I, Engelbert R, Heidendael D, Oti K, Jongen EMM, van Hooren S, (2023) The influence of
art material and instruction during art making on brain activity: A quantitative
electroencephalogram study. The Arts in Psychotherapy Vol 83:102024.
https://doi.org/10.1016/j.aip.2023.102024
[10] Bhattacharya J, Petsche H, (2005) Drawing on Mind’s Canvas: Differences in Cortical Integration
Patterns Between Artists and Non-Artists. Hum Brain Mapp Vol 26:1-14.
https://doi.org/10.1002/hbm.20104
[11] Babiloni C, Vecchio F, Infarinato F, Buffo P, Marzano N, Spada N et al., (2011) Simultaneous
recording of electroencephalographic data in musicians playing in ensemble. Cortex Vol 47:1082-
1090. https://doi.org/10.1016/j.cortex.2011.05.006
[12] Fink A, Grabner RH, Benedek M, Reishofer G, Hauswirth V, Fally M et al., (2009) The Creative
Brain: Investigation of Brain Activity During Creative Problem Solving by Means of EEG and
fMRI. Hum Brain Mapp Vol 30:734-748. https://doi.org/10.1002/hbm.20538
[13] Ludvig N, Medveczky G, Kuzniecky I, Illes G, & Devinsky O, (2011) “System and Device for
Seizure Detection”, The United States Patent and Trademark Office, US Patent No. 7,885,706.
https://patents.google.com/patent/US7885706B2/en
[14] Ludvig N, (2023) A Cosmological Neuroscientific definition of God. Open Journal of Philosophy
Vol. 13, pp 418-434. https://doi.org/10.4236/ojpp.2023.132028
[15] Ludvig N, (2022) “A Cosmological Neuroscientific Approach to the Soul of Multiverse”, Open
Journal of Philosophy, Vol. 12, pp 460-473. https://doi.org/10.4236/ojpp.2022.123030
AUTHOR
Nandor Ludvig received his M.D. from the University of Pécs Med. School, Hungary,
in 1979, and his Ph.D. in Neuroscience from the Hungarian Academy in Sciences in
1994. In the United States, he became a neuroscientist Research Associate Professor at
SUNY Downstate Medical Center and NYU School of Medicine. During his academic
years lasting to 2011, he received several NIH and NSF grants, published more than 50
PubMed-registered neuroscientific papers, co-authored 4 medical book chapters and was
the leading inventor of 5 US Patents for neurodiagnostic and neurotherapeutic devices.
Following his academic career, he has been working as a Translational Neuroscience Consultant,
developed the new field of cosmological neuroscience published in philosophical journals, and self-
published a science-fiction via Shakespeare & Co., New York.