This lecture covers modeling the neuron in silicon, modeling vision and audition and sensory fusion using a deep network. 

Presentation of a simulation software for spatial model neurons and their networks designed primarily for GPUs.

Presentation of past and present neurocomputing approaches and hybrid analog/digital circuits that directly emulate the properties of neurons and synapses.

Presentation of the Brian neural simulator, where models are defined directly by their mathematical equations and code is automatically generated for each specific target.

The lecture covers a brief introduction to neuromorphic engineering, some of the neuromorphic networks that the speaker has developed, and their potential applications, particularly in machine learning.

2nd part of the lecture. This lecture will discuss how understanding and applying simple neuroanatomical rules, one can localize the damage along the neuroaxis, the first crucial step toward making the correct clinical diagnosis and initiating treatment.

The ionic basis of the action potential, including the Hodgkin Huxley model. 

Introduction to the course Cellular Mechanisms of Brain Function.

The ionic basis of the action potential, including the Hodgkin Huxley model. 

Introduction to the course Cellular Mechanisms of Brain Function.

The composition of the cell membrane.

Spatiotemporal dynamics of the membrane potential.

Action potential initiation and propagation.

Synaptic transmission and neurotransmitters

Neurotransmitter release in the presynaptic specialization.

Presynaptic short-term dynamics and plasticity.

Synaptic modulation through diffusing neurotransmitters.

Investigating the structure of synapses with electron microscopy.

Glutamatergic transmission.

Glutamate release after an action potential. Resulting post-synaptic potentials in a biophysically realistic situation.