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Analysis of Connectivity in the Cat Cerebral Cortex
Analysis of Connectivity in the Cat Cerebral Cortex

... from structures thought to be homologous in other animals. (2) Evidence for connections was taken either from text or figures when it could be fitted unequivocally to our cortical map. (3) We gave priority in assigning connection strengths to data from higher resolution studies. For example, Avendan ...
Background - Harvard University
Background - Harvard University

Olfactory Learning in Drosophila: Learning from Models
Olfactory Learning in Drosophila: Learning from Models

... dog’s natural (unconditioned) response to food is an increased saliva secretion rate. The sound of the bell acts as CS and elicits no behavioral response before training. In the training trial Pavlov presented first the sound followed by the presentation of food. After repeated training trails the s ...
Primate amygdala neurons evaluate the progress of self
Primate amygdala neurons evaluate the progress of self

... different sequence lengths (Figure 1C). The animals typically preferred shorter sequences when interest was low (early peak in the probability distribution) and preferred longer sequences with higher interest (later peak; correlation between mean sequence length and interest rates across animals: r ...
The what, where and how of auditory
The what, where and how of auditory

Short title: Thalamocortical computations during tactile sensation
Short title: Thalamocortical computations during tactile sensation

Vol 431 No 7010 pp723-882
Vol 431 No 7010 pp723-882

... disorders. In the past decade, biological findings on dopamine function have been infused with concepts taken from computational theories of reinforcement learning. These more abstract approaches have now been applied to describe the biological algorithms at play in our brains when we form value jud ...
Simulating Populations of Neurons - Leeds VLE
Simulating Populations of Neurons - Leeds VLE

hippocampo–cerebellar theta band phase synchrony in rabbits
hippocampo–cerebellar theta band phase synchrony in rabbits

K. Lutz, M. Widmer
K. Lutz, M. Widmer

Non-reward neural mechanisms in the orbitofrontal cortex
Non-reward neural mechanisms in the orbitofrontal cortex

PDF
PDF

Motif distribution, dynamical properties, and computational
Motif distribution, dynamical properties, and computational

... We analyzed cortical microcircuit models based on the laminae-specific connectivity pattern specified by two different cortical microcircuit templates. The first cortical microcircuit template assembled by Thomson et al. (2002) was estimated from paired intracellular recordings with sharp electrodes fr ...
Technologies émergentes de mémoire résistive pour les systèmes
Technologies émergentes de mémoire résistive pour les systèmes

... (CBRAM) and Metal-Oxide based Memory (OXRAM) can play in dedicated neuromorphic hardware. We focus on the emulation of synaptic plasticity effects such as long-term potentiation (LTP), long term depression (LTD) and spike-timing dependent plasticity (STDP) with RRAM synapses. We developed novel low- ...
Jesús Pujol Martí  Neural map organization and development in the lateral-line system
Jesús Pujol Martí Neural map organization and development in the lateral-line system

... functionally complex, mediating contrasting behaviours that are also present in the adult fish. A decade ago, Ghysen‟s research group showed that the lateralis (lateral-line) sensory neurons display a topographic neural map. The same group shed some light on when and how this map is established. Sin ...
Learning and memory in zebrafish larvae
Learning and memory in zebrafish larvae

... Even relatively simple instances of learning in vertebrates can involve complex interactions of hundreds of molecules, each with distinct spatial and temporal kinetics, as well as neural circuits containing hundreds to thousands of neurons, and thousands to tens of thousands of synapses, which must ...
A self-organizing model of disparity maps in the primary visual cortex
A self-organizing model of disparity maps in the primary visual cortex

Cortical areas are linked through pathways which originate and
Cortical areas are linked through pathways which originate and

... determine the level of background. The background density was subtracted from subsequent density measures in the areas of interest to determine the density of anterograde label. Measurements of density of anterograde label represented the mean density taken from sample squares distributed throughout ...
Laminar Cortical Dynamics of Cognitive and Motor Working Memory
Laminar Cortical Dynamics of Cognitive and Motor Working Memory

First-in-first-out item replacement in a model of
First-in-first-out item replacement in a model of

... In the absence of input, the contents of a STM buffer decay gradually, due to noise and a slow-AHP (modeled as a bi-exponential response with Erev = −70 mV, G = 0.01 nS, τrise = τf all = 3000 ms, an alpha function). When a buffer that is filled to capacity receives new input at a rapid pace, so that ...
Volumetric Two-photon Imaging of Neurons Using
Volumetric Two-photon Imaging of Neurons Using

Eyeblink Conditioning During an Interstimulus Interval Switch in
Eyeblink Conditioning During an Interstimulus Interval Switch in

Disentanglement of local field potential sources by independent
Disentanglement of local field potential sources by independent

... restricted to the strongest generators only, and the algorithms may have different performance when dealing with weaker generators. In this paper we used the runica algorithm, which has widely been shown to be adequate for EEG applications. One of the ICA ambiguities is the lack of proper ordering o ...
A quantitative link between face discrimination deficits and neuronal
A quantitative link between face discrimination deficits and neuronal

... In contrast, fMRI adaptation techniques have been shown to be able to more directly probe neuronal selectivity than conventional methods relying on average BOLD-contrast stimulus responses (Grill-Spector et al., 2006). The fMRI rapid adaptation technique (fMRI-RA) is motivated by findings from monkey ...
Understanding Circuit Dynamics Using the Stomatogastric Nervous
Understanding Circuit Dynamics Using the Stomatogastric Nervous

... Recent years have seen a rebirth of interest in understanding how neural circuits generate behavior. Therefore, it is a particularly good time to review and critically examine what we know about the stomatogastric nervous system (STNS), one of the premier systems for analyzing how circuit dynamics a ...
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Recurrent neural network

A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed cycle. This creates an internal state of the network which allows it to exhibit dynamic temporal behavior. Unlike feedforward neural networks, RNNs can use their internal memory to process arbitrary sequences of inputs. This makes them applicable to tasks such as unsegmented connected handwriting recognition or speech recognition
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