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Cellular Neuroscience
Cellular Neuroscience

Neurons - Transcript - the Cassiopeia Project
Neurons - Transcript - the Cassiopeia Project

... connections provide the playing field upon which the complex activity of the brain takes place. Each neuron can turn its neighbors on or off depending on the signals it sends, and the resulting stable patterns of neuron firing represent memories…and images… and thoughts. We don't yet understand the ...
Katie Newhall Synchrony in stochastic pulse-coupled neuronal network models
Katie Newhall Synchrony in stochastic pulse-coupled neuronal network models

... Synchrony in stochastic pulse-coupled neuronal network models Many pulse-coupled dynamical systems  possess synchronous attracting states.  Even stochastically driven model networks of Integrate and Fire neurons demonstrate synchrony over a large range of parameters.  We study the interplay between ...
Reading the neural code in behaving animals, ~1000 neurons at a ,me
Reading the neural code in behaving animals, ~1000 neurons at a ,me

... fields  of  thousands  of  CA1  hippocampal  neurons  over  weeks.  Rewarded  spa3al  loca3ons  were   represented  by  a  dispropor3onally  greater  number  of  place  cells  than  non-­‐rewarded  loca3ons.   Spa3al  coding  was  also  highly ...
Slide ()
Slide ()

... Responses of neurons in the primary visual cortex of a monkey to visual stimuli. (Adapted, with permission, from Hubel and Wiesel 1977.) A. A diagonal bar of light is moved leftward across the visual field, traversing the receptive fields of a binocularly responsive cell in area 17 of visual cortex. ...
Neural coding in the primary olfactory cortex
Neural coding in the primary olfactory cortex

... The primary olfactory (piriform) cortex is a phylogenetically-ancient three-layered structure that is the first cortical destination of olfactory information. The comparatively simple architecture of the piriform cortex (PC) suggests that it may be a valuable model system for the study of cortical s ...
Nádasdy Zoltán Cal Tech
Nádasdy Zoltán Cal Tech

... Experimental evidence, such as task-dependent coherency between single-unit activity and local field potentials (LFPs), together with the dependency of action potential (AP) initiation on the subthreshold membrane oscillation (SMO) suggest that: i) the probability of action potentials is controlled ...
Neural Coding - Computing Science and Mathematics
Neural Coding - Computing Science and Mathematics

... • Suppose a neuron is capable of firing from 0 to 100 spikes per sec • Neurons that receive inputs from this neuron have 200 msecs to “decode” the signal from the neuron – Information coded in spikes fired by neuron in a 200 msec time window ...
Lecture 2: Basics and definitions - Homepages | The University of
Lecture 2: Basics and definitions - Homepages | The University of

... • Only spikes are important since other neurons receive them (signals) ...
Memory Capacity of a Hebbian Learning Model with Inhibition
Memory Capacity of a Hebbian Learning Model with Inhibition

... It has been shown that for a general discrete Hebbian-type learning model, when all parameters governing the stochastic learning process are fixed, the storage capacity of the model to learn a stream of uncorrelated stimuli is as low as O(log N), where N is the number of neurons in the network. If t ...
Impact of Correlated inputs on Simple Neural Models
Impact of Correlated inputs on Simple Neural Models

Lecture 6
Lecture 6

... • Glial cells provide support to neurons: suck up the spilt-over neuro-transmitters or provide myelin sheets around axons or neurons • Neuron cells: 10^11 in our brains Neurons receive input through synapses on its dendrites; dendritic trees often receive more than 10,000 synapses Neurons communica ...
Chapter 3: The nerve cell Multiple Choice Questions (1
Chapter 3: The nerve cell Multiple Choice Questions (1

... b. limited to connections within the cerebral cortex c. only about 10% of the connections in the cortex d. limited to vision cortex 5. Hebbian learning refers to notion that “neurons that fire together, wire together.” Its defining feature is that a. the threshold for firing an action potential is d ...
Local Cortical Circuits
Local Cortical Circuits

... Multi-Unit Analysis Limitations of Our Recordings Technique Analysis of Spike Trains by Renewal Density ...
Bayesian Curve Fitting and Neuron Firing Patterns
Bayesian Curve Fitting and Neuron Firing Patterns

... has involved examining neuronal activity in laboratory animals under varying experimental conditions. Neural information is represented and communicated through series of action potentials, or spike trains, and the central scientific issue in many studies concerns the physiological significance that s ...
Key - Cornell
Key - Cornell

... How can noise be introduced in these simulations? You reset the voltage to 0 after a spike, which creates a refractory period. Or you can even reset it to a negative valule. Noise can be added by making the threshold variable, introducing a noise to the input 6. Look at the diagrams below. Label the ...
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Neural coding

Neural coding is a neuroscience-related field concerned with characterizing the relationship between the stimulus and the individual or ensemble neuronal responses and the relationship among the electrical activity of the neurons in the ensemble. Based on the theory thatsensory and other information is represented in the brain by networks of neurons, it is thought that neurons can encode both digital and analog information.
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