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Biomedical engineering Group School of Electrical Engineering Sharif University of Technology Neural Representation How World is Mapped onto the Mind Neural Modeling - Fall 1386 1 NEURAL SYSTEMS Amazingly profesion at solving problems Explanation: Representation Serving to relate the internal state of the animal to its environment Can be manipulated internally without manipulating the actual, external, represented object. Penfild Observations Transformation Seagulls and Shellfish Bees and finding their ways Rats and sense of direction Exploiting representations Updating Manipulating Relating Explaining how neurobiological systems represent the world, and how they use those representations, via transformations, to guide behavior Neural Modeling - Fall 1386 2 NEURAL REPRESENTATION The main problem is to determine the exact nature of the representation relation; that is, to specify the relation between things ‘inside the head’ and things ‘outside the head’. We define The representational relationship To see if it does the explanatory work that is needed A,B,.. Decode A close tie between neural representations as understood by neuroscientists and codes as understood by communications engineers Codes in Engineering: Encode + …+ Decode Stimulus Encode/Decode : A procedure between 2 alphabets Neural firings encode properties of external stimuli Neural Modeling - Fall 1386 Encode Morse Encode Neural Firing 3 REPRESENTATION Representation: one/more Neural Firing 90 degree orientation Example: A neuron Firing for Face orientation Graded Representation: Firing more or less strongly Preferred Stimulus: One/More Neurons A Relation between Stimului and Firing Decoding: Inferring from Firing Neural Modeling - Fall 1386 45 degree orientation 4 Relevant Alphabets So many Different Alphabets Ex: Retinal Ganglion Cells Ex: An entire cortical area, like the primary visual cortex Color spatial frequency Intensity spike trains of large populations of neurons Relating neural responses (alphabet 1) and physical properties (alphabet 2) Neural Alphabets: light intensities certain retinal locations spike trains of single neurons average production rate of neural spikes (i.e., a rate code) specific timings of neural spikes (i.e., a timing code) population-wide groupings of neural spikes (population code) synchrony of neural spikes across neurons (synchrony code) Distances of Spikes in a Neural Loop Number of Spikes in a Neural Loop Of these possibilities, arguably the best evidence exists for a combination of timing codes and population codes Neural Modeling - Fall 1386 5 Physical properties Encoded by physicists and Neurons Only Encoded by neurons Displacement Velocity Acceleration Wavelength Temperature Pressure Mass, .. Red Hot Square Dangerous Edible Object Conspecific These latter ‘higher-order’ properties are inferred on the basis of (i.e., are the results of transformations of) representations For the time being we focus our attention on characterizing more basic physical properties, where we believe successes can be more convincingly demonstrated Neural Modeling - Fall 1386 6 Different Coding Engineering: Specified Neurons: Discovered A lot of debate concerning what is actually represented what is represented depends in part on how it is subsequently used Have to know how the system works in order to know what it represents. we have a fairly comprehensive understanding of what is actually represented in the brain Information encoded by a neural population may be decoded in a variety of ways Neural Modeling - Fall 1386 How it Works Obstacle Representation 7 The Single Neuron Neural Modeling - Fall 1386 8 Synapse Neural Modeling - Fall 1386 9 Neural Modeling - Fall 1386 10 STRUCTURE They have three distinct parts: (1) Cell body, (2) Dendrites, and (3) the Axon The particular type of neuron that stimulates muscle tissue is called a motor neuron. Dendrites receive impulses and conduct them toward the cell body. Neural Modeling - Fall 1386 11 Myelinated Axons The axon is a single long, thin extension that sends impulses to another neuron. They vary in length and are surrounded by a many-layered lipid and protein covering called the myelin sheath, produced by the schwann cells. Neural Modeling - Fall 1386 12 Resting Potential In a resting neuron (one that is not conducting an impulse), there is a difference in electrical charges on the outside and inside of the plasma membrane. The outside has a positive charge and the inside has a negative charge. Neural Modeling - Fall 1386 13 Contribution of Active Transport There are different numbers of potassium ions (K+) and sodium ions (Na+) on either side of the membrane. Even when a nerve cell is not conducting an impulse, for each ATP molecule that’s hydrolysed, it is actively transporting 3 molecules Na+ out of the cell and 2 molecules of K+ into the cell, at the same time by means of the sodium-potassium pump. Neural Modeling - Fall 1386 14 Contribution of facilitated diffusion The sodium-potassium pump creates a concentration and electrical gradient for Na+ and K+, which means that K+ tends to diffuse (‘leak’) out of the cell and Na+ tends to diffuse in. BUT, the membrane is much more permeable to K+, so K+ diffuses out along its concentration gradient faster. Conversely, the electric field causes both ions tend to come in. Neural Modeling - Fall 1386 15 RESULTS IN: a net positive charge outside & a net negative charge inside. Such a membrane is POLARISED Neural Modeling - Fall 1386 16 Action Potential When the cell membranes are stimulated, there is a change in the permeability of the membrane to sodium ions (Na+). The membrane becomes more permeable to Na+ and K+, therefore sodium ions diffuse into the cell down a concentration gradient. The entry of Na+ disturbs the resting potential and causes the inside of the cell to become more positive relative to the outside. Neural Modeling - Fall 1386 17 All-or-None Principle Throughout depolarisation, the Na+ continues to rush inside until the action potential reaches its peak and the sodium gates close. If the depolarisation is not great enough to reach threshold, then an action potential and hence an impulse are not produced. This is called the All-or-None Principle. Neural Modeling - Fall 1386 18 Speed of Nerve Impulses Impulses travel very rapidly along neurones. The presence of a myelin sheath greatly increases the velocity at which impulses are conducted along the axon of a neuron. In unmyelinated fibres, the entire axon membrane is exposed and impulse conduction is slower. Neural Modeling - Fall 1386 19 Speed of Nerve Impulses Impulses travel very rapidly along neurons. The presence of a myelin sheath greatly increases the velocity at which impulses are conducted along the axon of a neuron. In unmyelinated fibres, the entire axon membrane is exposed and impulse conduction is slower. Neural Modeling - Fall 1386 20 Equivalent Model for Dendrites and Axons dx Rdx Cdx i ( x, t ) v( x, t ) C x t v( x, t ) Ri ( x, t ) x 2 v ( x, t ) v( x, t ) RC x 2 t Neural Modeling - Fall 1386 21 Equivalent Model for an excited Neuron dx Rdx v0(t) Cdx i ( x, t ) v( x, t ) C x t 2 v ( x, t ) v( x, t ) RC x 2 t v( x, t ) Ri ( x, t ) x v(0, t ) v0 (t ) Neural Modeling - Fall 1386 22 Transmission of Action Potential/ Dendrite potential 2v v RC 2 x t 2V ( x, f ) j 2fRCV ( x, f ) 2 x V ( x, f ) V0e 2fRC x j 2fRC x e Neural Modeling - Fall 1386 23