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Motor cortex Somatosensory cortex Sensory associative cortex Pars opercularis Visual associative cortex Broca’s area Visual cortex Primary Auditory cortex Wernicke’s area Neurons Synapses Neurons and synapses • There are about 1012 neurons in the human brain. • Neurons generate electrical signals (action potentials). • Neurons communicate with each other at synapses. • There are about 1015 synaptic connections. What the brain does results from neuronal activity patterns. A single neuron may exhibit complex firing patterns. V Periodic spiking Bursting oscillation Network Activity QuickTime™ and a YUV420 codec decompressor are needed to see this picture. QuickTime™ and a YUV420 codec decompressor are needed to see this picture. Synchrony Uncorrelated activity QuickTime™ and a YUV420 codec decompressor are needed to see this picture. Propagating waves Mathematical Challenges • How should one model neuronal networks? • What types of activity patterns emerge in a model? • How does these patterns change wrt parameters? • How can we mathematically analyze the solutions? • How does the brain use this information? How do we model neuronal systems? 1) Single neurons 2) Synaptic connections between neurons 3) Network architecture The Neuron Electrical Signal: Action potential that propagates along axon The Hodgkin-Huxley Model Alan Lloyd Hodgkin Andrew Huxley Hodgkin-Huxley Equations CVt = DVxx - gNam3h(V-Ena) - gKn4(V-EK) - gL(V-EL) mt = (m(V) - m) / m(V) ht = (h(V) - h) / h(V) nt = (n(V) - n) / n(V) V = Membrane potential h, m, n = Channel state variables Model for action potential in the squid giant axon Some basic biology Cells have resting potential: potential difference between inside and outside of cell Resting potential maintained by concentration differences of ions inside and outside of cell There are channels in membrane selective to different ions. Channels may be open or closed. Membrane potential changes as ions flow into or out of cell. Na+ Na+ K+ + K K+ Na+ The action potential CVt = -gNam3h(V-Ena) - gKn4(V-EK) - gL(V-EL) mt = (m(V) - m) / m(V) ht = (h(V) - h) / h(V) nt = (n(V) - n) / n(V) Na+ Na+ K+ + K K+ Na+ The Morris-Lecar equations CVt = -gCa m(V) (V-ECa) - gKn(V-EK) - gL(V-EL) + Iapp nt = (n(V) - n) / n(V) m(V) = .5(1+tanh((v-v1)/v2) n(V) = .5(1+tanh((v-v3)/v4) n(V) = 1/cosh((v-v3)/2v4) We will write this system as: V’ = f(V,n) + Iapp n’ = g(V,n) Class I: (SNIC) Axons have sharp thresholds, can have long to firing, and can fire at arbitrarily low frequencies Class II: (Hopf) Axons have variable thresholds, short latency and a positive frequency. Networks Synaptic connections There may be different types of synapses: - excitatory or inhibitory - activate and/or inactivate at different time rates Model for two mutually coupled cells v1’ = f(v1,w1) – gsyns2(v1 – vsyn) w1’ = g(v1,w1) Cell 1 s1’ = a(1-s1)H(v1-q)-bs1 v2’ = f(v2,w2) – gsyns1(v2-vsyn) w2’ = g(v2,w2) s2’ = a(1-s2)H(v2-q)-bs2 Synapses may be excitatory or inhibitory They may turn on or turn off at different rates Cell 2 Network Architecture Example: excitatory-inhibitory network Note: There are many different types of connectivities: -- Sparse, global, random, structures, … Sleep Oscillatory processes with many time-scales: • • • • Circadian: 24 hours Slower: homeostatic sleep dept Internal sleep structure: minutes – hours Neuronal activity: milliseconds Stages of sleep form cyclical pattern Slow-Wave Activity: -- Spindles: 7 - 15 Hz ; Wax and Wane -- Delta: 1 - 4 Hz -- Slow Osc. .5 - 1 Hz Intracellular aspects of spindling in the thalamocortical system Sleep involves many parts of the brain Hobson, Nature Reviews Neuroscience 2002 These sleep rhythms arise from interactions between cortical neurons and two groups of cells within the thalamus: RE and TC cell. Thalamocortical Network Ctx + + + RE TC - Cells behave differently during Spindling and Delta TC Spindle Delta RE Clusters Do not fire every cycle 7-15 Hz Synchrony 1 - 4 Hz Synchrony Slow Rhythm < 1 Hz Questions: • How do we model this system? • What mechanisms underlie these rhythms? • Transitions between sleep stages? BASAL GANGLIA BASAL GANGLIA • Involved in the control of movement • Dysfunction associated with Parkinson’s and Huntington’s disease • Site of surgical procedures -- Deep Brain Stimulation (DBS) BASAL GANGLIA dopamine SNc GPe Striatum STN GPi Excitation Inhibition Thalamus C T X QuickTime™ and a decompressor are needed to see this picture. QuickTime™ and a decompressor are needed to see this picture. Motivation of Computational Study • Explain changes in firing patterns within the basal ganglia • During PD, neurons display: – Increased synchrony – Increased bursting activity • Mechanism underlying DBS mysterious