Biological Cybernetics By: Jay Barra Sean Cain. Biological Cybernetics An interdisciplinary medium...
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Transcript of Biological Cybernetics By: Jay Barra Sean Cain. Biological Cybernetics An interdisciplinary medium...
![Page 1: Biological Cybernetics By: Jay Barra Sean Cain. Biological Cybernetics An interdisciplinary medium for experimental, theoretical and application- oriented.](https://reader036.fdocuments.net/reader036/viewer/2022062804/56649ed35503460f94be3e46/html5/thumbnails/1.jpg)
Biological Cybernetics
By: Jay Barra
Sean Cain
![Page 2: Biological Cybernetics By: Jay Barra Sean Cain. Biological Cybernetics An interdisciplinary medium for experimental, theoretical and application- oriented.](https://reader036.fdocuments.net/reader036/viewer/2022062804/56649ed35503460f94be3e46/html5/thumbnails/2.jpg)
Biological Cybernetics
• An interdisciplinary medium for experimental, theoretical and application-oriented aspects of information processing in organisms.
– Sensory, motor, cognitive, and ecological phenomena
– Experimental studies of biological systems
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Biological Cybernetics
• Topics Covered:
– Experimental studies of biological systems
• Quantitative modeling
– Computational, technical, or theoretical studies
• Understanding biological information processing
– Artificial implementation of biological information processing and self-organizing principles
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Biological Cybernetics
• Performance and Function of systems:
– Communication between life sciences and technical or theoretical disciplines
• Neural Interactions a specific interest
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Coupled Van der Pol Oscillators - A model of excitatory and inhibitory neural interactions
• Relate basic neural activities on the cellular level to:– The various observed electroencephalograms (EEG)– Potential differences in the cortex
• Interactions between and within excitatory and inhibitory neurons– Modeled by Wilson and Cowan
• EEG phenomena studied in relation to such models
• Simple models explaining the rhythmicity of the EEG– Based on Wilson and Cowan model
• A feedback loop through a third set of neurons – Lopes da Silva et al.• Positive and negative feedback loops with two excitatory and one inhibitory
subsets of neurons – Zetterberg et al.
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• Van der Pol Oscillators:– Mutually coupled relaxation oscillators
– Done as a mathematical model for the electrical activity of the human and animal gastro-intestinal tract
• Reasonable to model EEG phenomena by a number of coupled oscillators
• Distribution of entrained oscillator frequencies can show the peak-dip shape of the EEG
• Phenomenological mathematical models:– Explain EEG data– Offer a guide for experiments on the EEG
Coupled Van der Pol Oscillators
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Biological Systems
• Biological clocks consist of:– A group of interacting oscillators.– Circadian rhythms, biochemical oscillators,
pacemaker neurons, etc. – May be related to biological oscillators
• Interesting subject in biological systems:– The entrainment of oscillators under periodic forces– The entrainment of a number of interacting oscillators
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Biological Systems
• Apart from biological systems– Nonlinear circuit theory
• Can be combined with biological systems for a better understanding of EEG phenomena
• Relation of physiological parameters to the coefficients in the circuits
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Study Conclusions
• Hope to further the understanding of very generalized cortex-like tissue in conjunction with the EEG phenomena
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System-Theoretical Analysis of the Clare Bishop Area (CBA) in the Cat
• Clare Bishop Area:
– Retinotypically organized cortical area of the cat brain
– Connected to a great variety of visual areas in a very complex way
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Experimental Analysis
• Difficult because:
– The greater the distance from the retina, the more specific the signal combinations necessary to analyze the system become
– Feedback loops cannot be opened, unequivocal identification of CBA cell properties is impossible
– Nonlinear character has a great influence on signal processing
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Experimental Analysis
• Circumvent Difficulties:– Specific signal combinations have been developed,
being restricted to:
• Deterministic and stochastic signals
• Determination of a number of cell properties
• Hypotheses on the function of the CBA are tested
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Conclusions
• Only moving stimuli produce responses
• Reaction of Cells:
– Direction specific– Prefer the extrafoveal direction
• Systems existent in the CBA:
– Have different behavior for:• Space • Time• Amplitude
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Study Conclusions
• CBA primary task:
– Orientation
• Exact localization of objects independent of velocity
• Treatment of objects in relation to background stimuli
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Cybernetics of Limb Movement
• Determine stresses on joints during motion• Neural planing involved in mapping spatial
planning to move joint to new position– Example, hand reaches for an apple
• Hand is the extension, upper arm and fore arm movements are automtically mapped
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Computations in controlling movement
• Joint Torque
• Masses of individual segments
• Effects of gravity and momentum
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Conclusions
• Normal straight line motion of joints involves– Compensation for dynamic interaction at each
joint segment
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Information Content of Texture Gradients
• Information gradients determine responses in stimuli sensory systems– Hairs on the back of the hand
• Touching one hair may not be felt, touching three will
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Visual gradients
• Non-linear distribution gives interpretation of horizons in a 2D image– This is why
perspective works in drawings
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Visual Gradients
Clear Horizon Horizon diminishes
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Thresholds for activation
• Affected by regularity of the information gradient
• Global Uniformity• Shape containing the pattern• Foreshortening (perspective)
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Pattern types
• Locally regular and globally uniform– Field of flowers, cars in parking lot
• Locally regular but globally varying– Waves on a lake
• Locally irregular but globally uniform– Field of rocks, boulders and pebbles
• Locally irregular and globally varying
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Works Cited• System-Theoretical Analysis of the Clare Bishop Area in the Cat. Jensen
H.J. Springer-Verlag Biological Cybernetics 39 53-66 (1980).
• Coupled Van der Pol Oscillators – A model of Excitatory and Inhibitory Neural Interactions. Kawahara, Takuji. Springer-Verlag. Biological Cybernetics 39, 37-43 (1980).
• Dynamic Interactions between Limb Segments During Planar Arm Movement, S. Kemmerling, D. Varju, Biological Cybernetics 44 67-77 (1982)
• The Information Content of Texture Gradients, Steven, Kent, Biological Cybernetics 42 95-105(1981)