This document discusses recent progress and future directions in cyborg intelligence. It defines cyborgs as beings with both biological and artificial parts that enhance human abilities. The document outlines literature on early cyborg experiments linking humans to technology. It then describes various methodologies used in cyborg intelligence research, including neural decoding algorithms, sensory fusion, and reconstruction methods. Finally, it discusses future work in developing more integrated models of biological and machine cognition to further advance cyborg intelligence.

1. CYBORG INTELLIGENCE
RECENT PROGRESS AND FUTURE
DIRECTIONS
PRESENTED BY:
MOHAMED AJMAL SHAREEF

2. AGENDA
 INTRODUCTION
 LITERATURE SURVEY
 METHODOLOGY
 FUTURE SCOPE AND CONCLUSION
 REFERENCES

3. INTRODUCTION
CYBORG :-“CYBERNETIC ORGANISM”
CYBORG is a combination between man and machine
A cyborg is a being with both biological and artificial parts.
A person whose physiological functioning is aided by or dependent upon a
mechanical or electronic device.
A living being whose powers are enhanced by computer implants.
>Eg:- A human fitted with a heart pacemaker or an Insulin pump(diabetes)
considered as cyborg.

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 The term cyborg was coined by Manfred E. Clynes and Nathan S. Kline in
1960 to refer to their conception of an enhanced human being who could
survive in extraterrestrial environments
 In 2010, the Cyborg Foundation became the world’s first international
organization dedicated to help humans become cyborgs.
 Application of Cyborgs include in Medical Field, Military ,Sports ,Arts , Popular
Culture etc.

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TYPES OF CYBORG
Convenient Cyborg
• The former Convenient cyborgs may refer
to any external provision of an
exoskeleton for the satisfying the
altered fancy needs of body.
Conditional Cyborg
• This includes bionic implants replanting
the lost or damaged body part for the
normal living in the present environment.

6. LITERATURE SURVEY
In 2002, under the heading Project Cyborg, a British scientist,
Kevin Warwick, had an array of 100 electrodes fired in to his
nervous system in order to link his nervous system into the Internet
In 2002, Canadian Jens Naumann, also blinded in adulthood
In 2004, a British and completely colorblind artist, Neil Harbisson,
started wearing an eyeborg on his head in order to hear colors

7. Rob
Spence
Jesse Sullivan Kevin Warwick

8. Tooth and Ear Cellphone Implant MC3 Biolung Artifical Lung
The Boston Retinal Implant Project Otto Bock C-Leg Intelligent Prosthetic Leg

9. METHODOLOGY
 Recent Advances In Cyborg Intelligence
1. Neural Mechanism of the primary somatosensory and primary cortex
2. Cross-model sensation Fusion
3. The novel Cognitive Model for Machine Parts
4. Neural decoding algorithms
5. Encoding approaches
6. Biological reconstruction method
7. Artificial reconstruction method

10. 8. Sensation augmented rat cyborg
9. Monkey hand-gesture decoding
10.Mind controlled scissor games

11. Multimodel Sensory Information Fusion and Representation
 Neural mechanisms underlying multimodal sensory associations
 Relationships between complicated network and sensation or perception
>Tactile-visual
>Tactile-tactile
Cognitive Computational Model In Brain-Machine Collaboration
 Cooperative relationships and activities in cyborg intelligent systems using a multiagent
methodology
 Perception motivation motor planning.
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12. Machine Learning-Based Methods for Brain Information Codecs
 Decoding and encoding of information
Motor Functionality Reconstruction
 Reconstruct neural and myoelectric signals
 Replacement for biological actuators and enhance the motor function
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13. SENSATION-AUGMENTED RAT CYBORGS
 Animal as the actuators
 Electrodes implanted in specific brain areas such as the somatosensory cortex and
reward area.
 Vision enhanced Ratbots can precisely and “human-interesting” objects
 Speech-recognition ratbots can be enhanced with speech understanding capacity
and navigate according to human words

14. MONKEY HAND-GESTURE DECODING
 Mind reader
 Implanted two 96-channel microelectrode arrays into both the premotor and
primary motor cortex

15. Mind-Controlled Rock-Paper-Scissors Game
 Electrocorticogram (ECoG) based brain-machine integration system to control a
prosthetic hand
 Extracted the power spectrum of high gamma frequency components (80 to 120
Hz) to decode rock-paper-scissors hand movements

16. FUTURE SCOPE AND CONCLUSION
Develop a multimodal sensation integration mechanism and
computational model in a large-scale association cortex.
Creation of a biologically plausible cognitive model.
Verified the basic concept and simplified the computational architecture
of cyborg intelligence
Integrating biological and machine intelligence into a unified mode of
intelligence is challenging but promising goal
It act as a boom to human body by improving the quality and the life .
It also act as a curse