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- Wiley Online Library
- Wiley Online Library

... useful for participants who started training with lower performance, presumably because HVT allowed them to focus more on their weaknesses early on, such that their performance improved more in HVT than in FPT. Contrary to previous claims17 that VPT could lead to transfer of skills to untrained task ...
Neural Oscillations
Neural Oscillations

The Basal Ganglia and Chunking of Action Repertoires
The Basal Ganglia and Chunking of Action Repertoires

a scaling cross platform tool for the analysis of neurophysiological data
a scaling cross platform tool for the analysis of neurophysiological data

- Wiley Online Library
- Wiley Online Library

... F I G U R E 3 Initiation and production of vocal motor patterns in X. laevis. (a) The ex vivo brain (Figure 1a) now viewed from the side and illustrating subdivisions (hindbrain, midbrain, and forebrain) that include neural circuits participating in initiation of vocal patterns. In an adult male bra ...
Probing forebrain to hindbrain circuit functions in Xenopus
Probing forebrain to hindbrain circuit functions in Xenopus

... F I G U R E 3 Initiation and production of vocal motor patterns in X. laevis. (a) The ex vivo brain (Figure 1a) now viewed from the side and illustrating subdivisions (hindbrain, midbrain, and forebrain) that include neural circuits participating in initiation of vocal patterns. In an adult male bra ...
Probing forebrain to hindbrain circuit functions in
Probing forebrain to hindbrain circuit functions in

... F I G U R E 3 Initiation and production of vocal motor patterns in X. laevis. (a) The ex vivo brain (Figure 1a) now viewed from the side and illustrating subdivisions (hindbrain, midbrain, and forebrain) that include neural circuits participating in initiation of vocal patterns. In an adult male bra ...
Negatively-Correlated Firing - Department of Computer Science
Negatively-Correlated Firing - Department of Computer Science

What insights can fMRI offer into the structure and function of mid-tier visual areas?
What insights can fMRI offer into the structure and function of mid-tier visual areas?

... modulated, and our experiments can reveal those tuning functions. However, because we want to be able to use fMRI to discover new kinds of tuning functions and selectivity, we cannot limit ourselves to experiments in which we already know what we are looking for. Broadly speaking, analyses that rely ...
Olfaction in Invertebrates: Manduca. In: Squire LR (ed). Encyclopedia of Neuroscience, vol 7, pp 49-57. Oxford: Academic Press.
Olfaction in Invertebrates: Manduca. In: Squire LR (ed). Encyclopedia of Neuroscience, vol 7, pp 49-57. Oxford: Academic Press.

... which project to the lip region of the mushroom body (MB) and to the lateral protocerebrum, the LH. PNs in these two pathways have been analyzed more closely by intracellular recordings. PNs in the median antennocerebral tract (m-ACT) code odors by latency differences or specific inhibitory phases i ...
A Computer Simulation of Olfactory Cortex with Functional
A Computer Simulation of Olfactory Cortex with Functional

... Neurons. The model contains three distinct populations of intrinsic cortical neurons, and a fourth set of cells which simulate cortical input from the olfactory bulb (Fig. 2). The intrinsic neurons consist of an excitatory population of pyramidal neurons (which are the principle neuronal type in thi ...
Minireview Embarrassed, but Not Depressed: Eye Opening Lessons
Minireview Embarrassed, but Not Depressed: Eye Opening Lessons

A scientific theory of ars memoriae: spatial view cells in a continuous
A scientific theory of ars memoriae: spatial view cells in a continuous

... that consist of discrete subsets of active binary firing rate neurons in the range 1,001–1,500. The firing of these latter neurons can be thought of as representing the discrete events that occur at the location. Continuous attractor networks by definition contain only continuous representations, bu ...
Changes in Resting State Effective Connectivity in the Motor
Changes in Resting State Effective Connectivity in the Motor

... performance or behavior. Specifically, individual differences in the spatial topography of spontaneous activity have been shown to correspond to individual differences in prescan anxiety38 and performance on working memory tasks.39 The idea that an individual’s spontaneous brain activity may predict ...
Dynamical Properties of Neuronal Systems with
Dynamical Properties of Neuronal Systems with

... one end of the spectrum, biological and neuroscientific models attempt to capture the realistic behavior of a brain region by taking into account relatively detailed information about the connectivity structure and electrophysiological properties of the neurons [158, 186, 251, 135, 137, 147]. At the ...
PDF
PDF

... divorced from the outcomes themselves and so do not immediately change with the re-valuation of the outcome. This is also the defining behavioral characteristic of habitual control. By contrast, we suggest that the prefrontal circuit subserves a modelbased reinforcement learning method. This constru ...
The Neural Foundations of Reaction and Action in Aversive Motivation
The Neural Foundations of Reaction and Action in Aversive Motivation

PMAPh_Kirke_AISB_final6
PMAPh_Kirke_AISB_final6

... The security robot team simulation involved robots with two levels of intelligence: a higher level more advanced cognitive function and a lower level basic affective functionality. The lower level functionality could take over if the higher level ceased to work. A new type of logic gate was designed ...
LEAP - Life Enrichment Center
LEAP - Life Enrichment Center

... palaeocortical and limbic. Even the basal levels of cortical processing are largely bilateral and subconscious, and thus occur outside of conscious perception. All higher level cortical processing, which may become conscious, is thus reliant upon maintenance of integrated function and neural f lows ...
Developments in understanding neuronal spike trains and functional
Developments in understanding neuronal spike trains and functional

... (Koch, 1999). Put simply, there is significant presence of neuronal processing that involves dependency only on single spikes or on the time interval between spikes. This latter point is critical since it indicates that the time between spikes, the inter-spike interval (ISI), may contain useful info ...
Activity of Bipolar Potential Generation in Paramecium
Activity of Bipolar Potential Generation in Paramecium

... Topographical Mapping in Brain with a Synchronous Neural System, Proceedings of the 15th International Conference on Mathematical Methods, Computational Techniques and Intelligent ...
Doubly stochastic processes: an approach for understanding central
Doubly stochastic processes: an approach for understanding central

Hybrid Analogies in Conceptual Innovation in Science
Hybrid Analogies in Conceptual Innovation in Science

... animal brains. Significantly, as we will outline below, the computational model led to a reconceptualization of “burst” phenomena in the in vitro model, and the development of “programmable” neurons. We have taken a mixed-method approach to this long-term investigation. Our approach involves conduc ...
Migration and Differentiation of Neural Crest
Migration and Differentiation of Neural Crest

Sequencing the connectome. - Cold Spring Harbor Laboratory
Sequencing the connectome. - Cold Spring Harbor Laboratory

... probe the connectivity between brain regions. Such analysis reveals, for example, that the retina is connected to the visual thalamus, which in turn is connected to the visual cortex. The importance of mesoscopic connectivity in the mammalian brain is uncontroversial—different brain areas represent ...
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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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