* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download PPT Lecture Slides: January 22, 2002
Optogenetics wikipedia , lookup
Neural coding wikipedia , lookup
Molecular neuroscience wikipedia , lookup
Metastability in the brain wikipedia , lookup
Electrophysiology wikipedia , lookup
Holonomic brain theory wikipedia , lookup
Development of the nervous system wikipedia , lookup
Single-unit recording wikipedia , lookup
Channelrhodopsin wikipedia , lookup
Neuroanatomy wikipedia , lookup
Biological neuron model wikipedia , lookup
Stimulus (physiology) wikipedia , lookup
Synaptic gating wikipedia , lookup
Neuropsychopharmacology wikipedia , lookup
The Brain from retina to extrastriate cortex 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 1 Neural processing responsible for vision • photoreceptors • retina – bipolar and horizontal cells – ganglion cells (optic nerve) • • • • • optic nerves optic chiasma (X) lateral geniculate body striate cortex extrastriate cortex 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 2 Lateral inhibition • Edge detection and contrast enhancement • Bipolar, Horizontal and Ganglion cells 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 3 Lateral inhibition • If no activity in neighboring photoreceptors, output = output of photoreceptor 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 4 Lateral inhibition • if activity in neighboring photoreceptors, – output is decreased, possibly absent 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 5 Lateral inhibition via addition and negative weights 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 6 Another example 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 7 Different kinds of ganglion cells == different sets of weights 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 8 Optic nerve • axons of the ganglion cells – 1 million optic nerves – 120 million photoreceptors 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 9 From light to vision Lateral Geniculate Nucleus (LGN) Geniculo-Striate Pathway 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 Striate Cortex 11 Striate cortex (primary visual centre) • Neurons are edge detectors fires when an edge of a particular orientation is present 2002/01/21 (LGN) Striate Cortex PSCY202-005, Term 2, Copyright Jason Harrison, 2002 12 Striate cortex (primary visual centre) • Neurons are edge detectors fires when an edge of a particular orientation is present (LGN) frequent output Striate Cortex vertical bar 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 13 Striate cortex (primary visual centre) • Neurons are edge detectors fires when an edge of a particular orientation is present (LGN) infrequent output Striate Cortex diagonal bar 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 14 Edge detection • each cell “tuned” to particular orientation – vertical – horizontal – diagonal • cats: only horizontal and vertical • humans: 10 degree steps • edges at particular orientations and positions 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 15 Extrastriate cortex (beyond the striate cortex) 2002/01/21 V1 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 16 Extrastriate cortex • Each area handles separate aspect of visual analysis – “V1-V2 complex”: Map for edges – V3: Map for form and local movement – V4: Map for colour – V5: Map for global motion • Each is a visual module – connects to other areas – operates largely independently 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 17 Finally • What was the purpose of this presentation? • Which question remains unanswered? 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 18 Slides after this point review neuron function and vocabulary. We did not cover them in lecture, but you may find them useful. Gregory covers this pp 68-74 Coren, Ward, Enns in an appendix 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 19 The brain - processor of information Eyes are actually a part of the brain Ganglion cells are a special type of neuron: Neural cell (neuron) Ganglion cell 2002/01/21 Input s from phot orecept ors Input s from ot her neurons D e nd r it e s Cell body A xo n Out put Out put ( t o ot her neurons) PSCY202-005, Term 2, Copyright Jason Harrison, 2002 20 The brain - processor of information Eyes are actually a part of the brain Ganglion cells are a special type of neuron: Ganglion cell 2002/01/21 Input s from phot orecept ors Out put PSCY202-005, Term 2, Copyright Jason Harrison, 2002 21 The brain - processor of information Eyes are actually a part of the brain Ganglion cells are a special type of neuron: Ganglion cell 2002/01/21 Input s from phot orecept ors Out put PSCY202-005, Term 2, Copyright Jason Harrison, 2002 22 The brain - processor of information Eyes are actually a part of the brain Ganglion cells are a special type of neuron: Neural cell (neuron) Ganglion cell 2002/01/21 Input s from phot orecept ors Input s from ot her neurons D e nd r it e s Out put PSCY202-005, Term 2, Copyright Jason Harrison, 2002 23 The brain - processor of information Eyes are actually a part of the brain Ganglion cells are a special type of neuron: Neural cell (neuron) Ganglion cell 2002/01/21 Input s from phot orecept ors Input s from ot her neurons D e nd r it e s Cell body Out put PSCY202-005, Term 2, Copyright Jason Harrison, 2002 24 The brain - processor of information Eyes are actually a part of the brain Ganglion cells are a special type of neuron: Neural cell (neuron) Ganglion cell 2002/01/21 Input s from phot orecept ors Input s from ot her neurons D e nd r it e s Cell body A xo n Out put PSCY202-005, Term 2, Copyright Jason Harrison, 2002 25 The brain - processor of information Eyes are actually a part of the brain Ganglion cells are a special type of neuron: Neural cell (neuron) Ganglion cell 2002/01/21 Input s from phot orecept ors Input s from ot her neurons D e nd r it e s Cell body A xo n Out put Out put ( t o ot her neurons) PSCY202-005, Term 2, Copyright Jason Harrison, 2002 26 Input signals on dendrites affect voltage on cell body 2002/01/21 -when voltage change is sufficiently high, cell begins to fire axon axon terminals -action potentials (spikes) sent along axon, towards terminals -speed ≈1 m/sec (narrow) to 100 m/sec (wide) PSCY202-005, Term 2, Copyright Jason Harrison, 2002 27 Input signals on dendrites affect voltage on cell body 2002/01/21 -when voltage change is sufficiently high, begins to fire cell -action potentials (spikes) sent along axon, towards terminals -speed ≈1 m/sec (narrow) to 100 m/sec (wide) PSCY202-005, Term 2, Copyright Jason Harrison, 2002 28 Input signals on dendrites affect voltage on cell body 2002/01/21 -when voltage change is sufficiently high, begins to fire cell -action potentials (spikes) sent along axon, towards terminals -speed ≈1 m/sec (narrow) to 100 m/sec (wide) PSCY202-005, Term 2, Copyright Jason Harrison, 2002 29 Input signals on dendrites affect voltage on cell body 2002/01/21 -when voltage change is sufficiently high, begins to fire cell axon axon terminals -action potentials (spikes) sent along axon, towards terminals -speed ≈1 m/sec (narrow) to 100 m/sec (wide) PSCY202-005, Term 2, Copyright Jason Harrison, 2002 30 Output strength represented by rate of firing along axon of neuron 2002/01/21 Typical rates: 200-1000 spikes per second PSCY202-005, Term 2, Copyright Jason Harrison, 2002 31 Output strength represented by rate of firing along axon of neuron 2002/01/21 Typical rates: 200-1000 spikes per second PSCY202-005, Term 2, Copyright Jason Harrison, 2002 32 Output strength represented by rate of firing along axon of neuron 2002/01/21 Typical rates: 200-1000 spikes per second PSCY202-005, Term 2, Copyright Jason Harrison, 2002 33 Output strength represented by rate of firing along axon of neuron 2002/01/21 spikes travel down axon axon axon terminals low output strength = low frequency of spikes Typical rates: 200-1000 spikes per second PSCY202-005, Term 2, Copyright Jason Harrison, 2002 34 Output strength represented by rate of firing along axon of neuron 2002/01/21 spikes travel down axon axon axon terminals low output strength = low frequency of spikes Typical rates: 200-1000 spikes per second PSCY202-005, Term 2, Copyright Jason Harrison, 2002 35 Information processed by neurons activating each other in sequence 2002/01/21 -output of one neuron = input of next -connection = synapse conne ct ions ( sy n a p se s) PSCY202-005, Term 2, Copyright Jason Harrison, 2002 36 But excitation is not the only way that neurons interact… 2002/01/21 PSCY202-005, Term 2, Copyright Jason Harrison, 2002 37