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Brain and Cognitive Sciences

Channel | updated May 10, 2013

MIT's Department of Brain and Cognitive Sciences stands at the nexus of neuroscience, biology and psychology. We combine these disciplines to study specific aspects of the brain and mind including: vision, movement systems, learning and memory, neural and cognitive development, language and reasoning. Working collaboratively, we apply our expertise, tools, and techniques to address and answer both fundamental and universal questions about how the brain and mind work.

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121 - 140 of 195
Lecture 13: Darwinian Synthesis
  • MIT OpenCourseWare,
  • Educational
Lecture 13: Darwinian Synthesis

Topics: Darwinian Synthesis - Unity of Type and Conditions of Existence - Instinct and Behavior - Ants - Swarm Behavior - Bees - Complex Nonteleological Construction - Geological Succession - Embryology - Ontogeny - Phylogeny Instructor: Prof. James Paradis

Lecture 12: Natural Selection
  • MIT OpenCourseWare,
  • Educational
Lecture 12: Natural Selection

Topics: Natural Selection - Alfred Wallace - The struggle for existence - Web of complex relations - Natural selection - Speciation - Divergence Instructor: Prof. James Paradis

Lecture 11: Darwin and the Economy of the Natural World
  • MIT OpenCourseWare,
  • Educational
Lecture 11: Darwin and the Economy of the Natural World

Topics: Darwin and the Economy of the Natural World - Franz Gall - Luigi Galvani - Overproduction - Imperfect Adaptation - Charles Lyell - Geologic Time - Geology Principles - Faunal Succession - Fossils - Science in the 19th Century - Variation - Selection Instructor: ...

Lecture 10: Malthus and the Compound Mind
  • MIT OpenCourseWare,
  • Educational
Lecture 10: Malthus and the Compound Mind

Topics: Malthus and the Compound Mind - Collective irrationality and the French Revolution - Darwin's voyage Instructor: Prof. James Paradis

Lateral inhibition and feature selectivity
  • Brain and Cognitive Sciences,
  • Feature
Lateral inhibition and feature selectivity

Lateral excitation and global inhibition
  • Brain and Cognitive Sciences,
  • Feature
Lateral excitation and global inhibition

Ion channels and Markov processes
  • Brain and Cognitive Sciences,
  • Feature
Ion channels and Markov processes

Introduction
  • Brain and Cognitive Sciences,
  • Feature
Introduction

In this first lecture of the class, an overview of the course structure is provided, followed by the dual definition of Computational Neuroscience as A) using a computer to study the brain, and B) studying the brain as a computer, then an in depth discussion of this definition.

Introduction
  • Brain and Cognitive Sciences,
  • Feature
Introduction

Intra-group excitation and global inhibition
  • Brain and Cognitive Sciences,
  • Feature
Intra-group excitation and global inhibition

Hybrid analog-digital computation, ring network
  • Brain and Cognitive Sciences,
  • Feature
Hybrid analog-digital computation, ring network

Hybrid analog-digital computation, ring network

Hybrid analog-digital computation
  • Brain and Cognitive Sciences,
  • Feature
Hybrid analog-digital computation

How Does Emotion Affect Explicit Memory?
  • Brain and Cognitive Sciences,
  • Event
How Does Emotion Affect Explicit Memory?

Elizabeth A. Kensinger, recorded 12/5/12

Hologram Method Used to Study Neurons
  • Microscopy/spectroscopy,
  • Educational
Hologram Method Used to Study Neurons

Pierre Magistretti of the Brain Mind Institute at Ecole Polytechnique Fédérale de Lausanne explains how holographic microscopy works.

Hodgkin-Huxley model
  • Brain and Cognitive Sciences,
  • Feature
Hodgkin-Huxley model

Hodgkin Huxley Model II
  • Brain and Cognitive Sciences,
  • Feature
Hodgkin Huxley Model II

In this lecture we continue covering the Hodgkin Huxley model.

Hodgkin Huxley Model I
  • Brain and Cognitive Sciences,
  • Feature
Hodgkin Huxley Model I

In this lecture we continue the explanation of the equivalent circuit diagram of a neuron, as well as the Nernst equation, which leads to a discussion of the Hodgkin Huxley Model of the electro-potential of a neuron as a function of time.

Hamiltonian dynamics
  • Brain and Cognitive Sciences,
  • Feature
Hamiltonian dynamics

Griniasty-Tsodyks-Amit model
  • Brain and Cognitive Sciences,
  • Feature
Griniasty-Tsodyks-Amit model

Gradient learning of trajectories
  • Brain and Cognitive Sciences,
  • Feature
Gradient learning of trajectories

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121 - 140 of 195

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