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Synchrony & Perception
How consciousness can emerge from land of synchronous waves
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Topics The beginning of the Brain’s story A neuron, atom of perception
Why we need a Brain? Collective behavior of neurons: oscillation Synchrony as the communication line Some thought provoking experiments
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The beginning of the Brain’s story
All started from golgi an Cajal ~ 100 years ago The neuron doctrine A neuron is a sack of ionic medium pierced with ion channels The imbalance distribution of ions gives the most important property of a neuron to it: the membrane potential
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Membrane potential
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Action potential
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What’s special about action potential?
It’s the mere way for communication (millisecond scale)
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Action potential shapes the collective behavior of neurons in a network
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Why do we need brains? Why neural systems have evolved?
For movement! For movement? Daniel Wolpret
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Structure of the brain may have evolved based on this property
Main parts of the brain
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Structure of the brain may have evolved based on this property
Cerebral cortex 100,000 Cortical columns, 1000 to 10, 000 neurons each
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Thalamus GIF file Conectomics importance
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Thalamocortical network
The thalamus as an integral part of the brain
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Neural oscillation Two different scales: Single neuron
Neuronal population
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Single neuron oscillation
Any neuron is an oscillator when it gets the constant input : I
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Neural population oscillation (synchronization)
There are many ways for synchrony between neurons Mutual excitation between pyramidal neurons Inhibitory interneuronal network Excitatory-inhibitory feedback loop Synaptic filtering Slow negative feedback Electrical coupling Correlation-induced stochastic synchrony
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Mutual excitation Video
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Neural population oscillation (synchronization)
Through feedback inhibition
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Neural population oscillation (synchronization)
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Neural population oscillation (synchronization)
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Thalamocortical oscillation(resonance or synchrony)
Just keep in mind, we will discuss it
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What might be the role of these oscillations. Do they “code” any thing
What might be the role of these oscillations? Do they “code” any thing? Information maybe…? Neural code
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the neural code? Can the information theory help? Rate coding
Temporal coding Phase-of-firing code Population coding Sparse coding
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FM coding in thalamocortical network
What does neuron 1 tell neuron 2? A simpler question: do neuron 1 and neuron 2 interact? (Izhikevich, 1998) One approach to the neural code is to find the criterion in which neurons can effect each other In order to find a neural code or a mean for communication, find the criteria that 2 neurons can effect each other.
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Lets consider the main parts of our brain
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Assumptions Weak connections
It is based on the observation that average amplitude of post synaptic potential is smaller than 1 mV, which implies that there must be many (a few hundred) presynaptic neurons firing simultaneously to make a given cell fire (McNaughton et al., 1981). Autonomous oscillations We assume that each cortical column can exhibit periodic activity that is not induced by a rhythmic input, but is an endogenous (intrinsic) dynamical property of the column.
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A canonical model and Equations that govern these oscillators
0.004<𝜀<0.008
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The criteria for interaction
although the model is simple but ….. What the model cannot do?
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The nonresonant frequencies always make the second term constant
Neuron 1 and 2 interact only when their frequencies are resonant We say that a vector of frequencies , is resonant if there is a nonzero integer vector such that
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Coupled oscillators
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Role of thalamus
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Examples and simulations
How to test this Idea? Perturbation test
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Frequency match in coupled neurons
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Neural communication in population of neurons
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The upshot Synchrony can be the communication method
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Summary Neurons Oscillation Thalamocortical network
Izhikeviche’s paper
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Some considerations Oscillation in population level
Synchrony PDF: sleep, cognitive behavior Thalamus
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Thalamus in evolution
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EEG PDF Miller KJ, Sorensen LB, Ojemann JG, den Nijs M (2009) Power-Law Scaling in the Brain Surface Electric Potential. PLoS Comput Biol 5(12): e doi: /journal.pcbi
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EEG PDF in cognitive task
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Synchronization mechanisms
There are many ways for synchrony between neurons Mutual excitation between pyramidal neurons Inhibitory interneuronal network Excitatory-inhibitory feedback loop Synaptic filtering Slow negative feedback Electrical coupling Correlation-induced stochastic synchrony
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Types of neurons One can define 2 types of neurons based on their PRC
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Synchrony through Mutual excitation type 2 neurons(HH)
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Synchrony through Mutual Inhibition type 1 neurons
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Frequency bands Mutual excitation: epilepsy
Inhibitory interneuronal network: Gamma band( Hz) Excitatory-inhibitory feedback loop: Gamma band ( Hz)(when I-I exists, happens less) 2 mechs for Robustness?
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So what? Does this assumption explain anything in the real world?
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We need to know about the NCC
Neural Correlates of Consciousness
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Experiments
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Perception obeys the input signal’s frequency
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Noisy picture & gamma synchrony
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Noisy dog picture & gamma synchrony
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Interhemispheric communication through synchrony a causal relationship
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a causal relationship…
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Some contradictory results
1: Feature Binding happens through 12 Hz synchrony, not 40 Hz(Monkey’s visual cortex)
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Cortical neural populations can guide behavior by integrating inputs linearly, independent of synchrony PNAS Short pulses provided no behavioral advantage, even when they concentrated evoked spikes into an interval a few milliseconds long. Arranging pulses into trains of varying frequency from beta to gamma also produced no behavioral advantage.
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Nothing for Conclusion but… some Outstanding questions
What is the neural code? Can synchrony be the basis of our Consciousness? What is the benefit of processing in a thalamocortical like network? Is thalamocortical network a SF network?
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Don’t Respect Textbook Theories
Vincent Walsh, BCNC, 2013
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Some contradictory results
2: In monkey’s visual cortex, experiment yielded negative results suggesting that synchrony doesn’t bind features of perceived objects
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Prerequisits: Cerebrum + thalamus gif Cat rivalry article Ted talk daniel
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Binocular rivalry and synchrony in Cat visual cortex
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Neural Communication Through Synchrony
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