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Lesson title:

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

Difficulty level: Beginner
Duration: : 1:32:17
Speaker: : Shih-Chii Liu
Course Name: : INCF Short course: Introduction to neuroinformatics
Lesson title:

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

Difficulty level: Beginner
Duration: : 21:15
Speaker: : Tadashi Yamazaki
Course Name: : Neuromorphic computing and challenges
Lesson title:

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

Difficulty level: Beginner
Duration: : 41:57
Speaker: : Giacomo Indiveri
Course Name: : Neuromorphic computing and challenges
Lesson title:

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

Difficulty level: Beginner
Duration: : 20:39
Speaker: : Giacomo Indiveri
Course Name: : Neuromorphic computing and challenges
Lesson title:

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.

Difficulty level: Intermediate
Duration: : 19:57
Course Name: : Neuromorphic computing and challenges
Lesson title:

This lecture provides an overview of depression (epidemiology and course of the disorder), clinical presentation, somatic co-morbidity, and treatment options.

Difficulty level: Beginner
Duration: : 37:51
Course Name: : Brain medicine for non-specialists
Lesson title:

Part 1 of 2 of a tutorial on statistical models for neural data

Difficulty level: Beginner
Duration: : 1:45:48
Speaker: : Jonathan Pillow
Course Name: : Statistical models
Lesson title:

What is the difference between attention and consciousness? This lecture describes the scientific meaning of consciousness, journeys on the search for neural correlates of visual consciousness, and explores the possibility of consciousness in other beings and even non-biological structures.

Difficulty level: Beginner
Duration: : 1:10:01
Speaker: : Christof Koch
Course Name: : Coding and Vision 101
Lesson title:

Introduction to the course Cellular Mechanisms of Brain Function.

Difficulty level: Beginner
Duration: : 12:20
Speaker: : Carl Petersen
Course Name: : Biophysical models
Lesson title:

Introduction to the course Cellular Mechanisms of Brain Function.

Difficulty level: Beginner
Duration: : 12:20
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

Ion channels and the movement of ions across the cell membrane.

Difficulty level: Beginner
Duration: : 25:51
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

Action potential initiation and propagation.

Difficulty level: Beginner
Duration: : 09:13
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

Synaptic transmission and neurotransmitters

Difficulty level: Beginner
Duration: : 28:22
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

This lecture covers NeuronUnit, a library that builds upon SciUnit and integrates with several existing neuroinformatics resources to support validating single-neuron models using data gathered by neurophysiologists.

Difficulty level: Intermediate
Duration: : 17:21
Speaker: : Richard Gerkin
Course Name: : Open collaboration in computational neuroscience
Lesson title:

An introduction to the NeuroElectro project, which aims to organize information on cellular neurophysiology. Speaker: Shreejoy Tripathy

Difficulty level: Intermediate
Duration: : 17:41
Course Name: : Open collaboration in computational neuroscience
Lesson title:

Simultaneously recorded neurons in non-human primates coordinate their spiking activity in a sequential manner that mirrors the dominant wave propagation directions of the local field potentials.

Difficulty level: Intermediate
Duration: : 26:54
Course Name: : Analysis and interpretation of massively parallel electrophysiological data
Lesson title:

This talk covers statistical analysis of spike train data, the modeling approach GLM, and the problem of assessing neural synchrony.

Difficulty level: Intermediate
Duration: : 25:17
Speaker: : Rob Kass
Course Name: : Analysis and interpretation of massively parallel electrophysiological data
Lesson title:

This talk covers statistical methods for characterizing neural population responses and extracting structure from high-dimensional neural data.

Difficulty level: Intermediate
Duration: : 26:15
Speaker: : Jonathan Pillow
Course Name: : Analysis and interpretation of massively parallel electrophysiological data
Lesson title:

This presentation covers research to understand the activity of single neurons and populations of neurons in the visual system.

Difficulty level: Intermediate
Duration: : 28:23
Speaker: : Matteo Carandini
Course Name: : Analysis and interpretation of massively parallel electrophysiological data