This section contains lectures which were provided by several HBP PIs.
Future Computing
Back
NEST: A brain Simulator
Lecture: NEST (Provided by the Bernstein Network) - A brain Simulator
Provided by the: Bernstein Network
Published on: 10.07.2012
Duration: 6min
NEST is a simulator for spiking neural network models that focuses on the dynamics, size and structure of neural systems rather than on the exact morphology of individual neurons.
Further Information on NEST can be found at:
http://www.nest-initiative.org/Software:About_NEST
http://www.nest-initiative.org/Software:Download
Future Medicine
Future Neuroscience
- Born Jan: Sleep's critical role for memory
- Dehaene Ghislaine: Origins of the human mind in the infant braint
- Dehaene Stanislas: "Reading in the Brain"
- Dehaene Stanislas: Recent Advances in Understanding the Brain Mechanisms of Consciousness
- Einevoll Gaute: From cellular/network models to tissue simulation
- Einevoll Gaute: What can we learn from multielectrode recordings of extracellular potentials in the brain?
- Goebel Rainer: Functional Brain Imaging and Brain-Computer Interfaces: Past, present, Future
- Grant Seth: The Problem of synapse complexity
- Grün Sonja: Data driven analysis of spatio-temporal cortical interaction
- Lachaux Jean-Philippe: 1998 - 2013: the new wave of human intra-cranial electrophysiology
- Lachaux Jean-Philippe: Attention, distraction and the war in our brain: Jean-Philippe Lachaux at TEDxEMLYON
- Maass Wolfgang: Does the brain play dice?
- Mortone Maryann: Where do we go from here: databases and ontologies
- Pavone Francesco: Brain research aims to advance neuromorphic computing
- Pavone Francesco: Journey into the Brain: from Single Synapse to Whole Brain Anatomy
- Segev Idan: Design principles for dendritic inhibition
- W1 Gerstner Wulfram: Generalized Integrate and Fire Models
- W1 Gerstner Wulfram: Leaky Integrate- and- Fire Model
- W1 Gerstner Wulfram: Linear differential equation
- W1 Gerstner Wulfram: Neurons and Synapses: Overview
- W1 Gerstner Wulfram: Quality of Integrate-and-Fire Models
- W1 Gerstner Wulfram: The Passive Membrane
- W2 Gerstner Wulfram: Biophysics of neurons
- W2 Gerstner Wulfram: Detailed Biophysical Models
- W2 Gerstner Wulfram: Hodgkin-Huxley Model
- W2 Gerstner Wulfram: Reversal potential and Nernst equation
- W2 Gerstner Wulfram: Threshold in the Hodgkin Huxley Model
- W3 Gerstner Wulfram: Cable equation
- W3 Gerstner Wulfram: Compartmental Models
- W3 Gerstner Wulfram: Dendrite as a Cable
- W3 Gerstner Wulfram: Derivation of the Cable Equation
- W3 Gerstner Wulfram: Synapses
- W3 Gerstner Wulfram: Synaptic short term plasticity
- W4 Gerstner Wulfram: Analysis of a 2D neuron model - constant input
- W4 Gerstner Wulfram: Analysis of a 2D neuron model - pulse input
- W4 Gerstner Wulfram: Exploiting similarities
- W4 Gerstner Wulfram: Firing threshold in 2D models
- W4 Gerstner Wulfram: From Hodgkin Huxley to 2D
- W4 Gerstner Wulfram: Nonlinear Integrate-and-Fire Model
- W4 Gerstner Wulfram: Phase Plane Analysis
- W4 Gerstner Wulfram: Separation of time scales
- W4 Gerstner Wulfram: Stability of fixed points
- W4 Gerstner Wulfram: Type I and Type II Neuron Models
- W5 Gerstner Wulfram: Membrane potential fluctuations
- W5 Gerstner Wulfram: Poisson Model
- W5 Gerstner Wulfram: Sources of Variability?
- W5 Gerstner Wulfram: Stochastic spike arrival
- W5 Gerstner Wulfram: Stochastic spike firing in integrate and fire models
- W5 Gerstner Wulfram: Three definitions of rate code
- W5 Gerstner Wulfram: Variability of spike trains
- W6 Gerstner Wulfram: Comparison of noise models
- W6 Gerstner Wulfram: Escape noise
- W6 Gerstner Wulfram: From diffuse noise to escape noise
- W6 Gerstner Wulfram: Interspike intervals & renewal processes
- W6 Gerstner Wulfram: Likelihood of a spike train
- W6 Gerstner Wulfram: Rate Codes versus Temporal Codes
- W7 Gerstner Wulfram: AdEx: Adaptive exponential integrate-and-fire
- W7 Gerstner Wulfram: Firing patterns and phase plane analysis
- W7 Gerstner Wulfram: Generalized Linear Model (GLM)
- W7 Gerstner Wulfram: Helping Humans
- W7 Gerstner Wulfram: Modeling in vitro data
- W7 Gerstner Wulfram: Models and data
- W7 Gerstner Wulfram: Parameter estimation
- W7 Gerstner Wulfram: Parameter estimation for spike times
- W7 Gerstner Wulfram: Spike Response Model (SRM)