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Synchronous vs. Conjunctive Binding: A False Dichotomy? Robert F. Hadley ()
Synchronous vs. Conjunctive Binding: A False Dichotomy? Robert F. Hadley ()

... In what follows, I take it as a working hypothesis that for each set of neurons, whose joint activations reliably qualify as representing a given concept, C (whether C is a role or a filler), there does exist such a clique. Also, due to conditions (a) and (b), above, it follows that the activation o ...
Cytoarchitecture of the canine perirhinal and postrhinal cortex
Cytoarchitecture of the canine perirhinal and postrhinal cortex

... new DMS procedure (delayed matching-to-sample) like that used in the monkey was developed for dogs by Kowalska (1997) and was applied in auditory recognition tasks, providing an opportunity to compare the results in both species. However, rhinal lesions in dogs had no effect on performance in these ...
arXiv:1604.00289v3 [cs.AI] 2 Nov 2016
arXiv:1604.00289v3 [cs.AI] 2 Nov 2016

... & Prince, 1988). While we are critical of neural networks in this article, our goal is to build on their successes rather than dwell on their shortcomings. We see a role for neural networks in developing more human-like learning machines: They have been applied in compelling ways to many types of ma ...
New approaches for heuristic search: linkage with artificial
New approaches for heuristic search: linkage with artificial

... A neural network can be organized, by appropriate choice of topology, states and functions, to behave as an optimizing system (at least locally) for a combinatorial problem. The function to be optimized over a specified set is replaced by an energy function to be minimized, typically over a larger ( ...
Building Machines That Learn and Think Like People
Building Machines That Learn and Think Like People

... dozens). Most state-of-the-art deep networks are trained using the backpropagation algorithm to gradually adjust their connection strengths. Backpropagation: Gradient descent applied to training a deep neural network. The gradient of the objective function (e.g., classification error or log-likeliho ...
Synaptic Distinction of Laminar-specific Prefrontal-temporal Pathways in Primates
Synaptic Distinction of Laminar-specific Prefrontal-temporal Pathways in Primates

... each case (total = 8 in 5 cases), and 1--3 pieces from the middle layers (total = 8 in 5 cases), representative of the labeling in area Ts1 (cases AY, BG, BC, BA), or in area Ts3 (case BF). The sites sampled from architectonic area Ts1 were matched for rostro-caudal level across cases (cases AY, BG, ...
Receptive Fields of Second-order Neurons in the Olfactory Bulb of
Receptive Fields of Second-order Neurons in the Olfactory Bulb of

... indicate field potential, filled circles indicate field potential accompanied by a driven spike (i.e., receptive field). The exact bulb location of the neuron illustrated in this figure is shown in Fig. 1 along with the epithelial positions. ceils activated by stimulation, a negative field potential ...
Self-organization and interareal networks™in™the™primate cortex
Self-organization and interareal networks™in™the™primate cortex

... The species as a whole is subject to environmental patterns that exert pressure through natural selection that could promote the development of suitable circuits and processing modules, that are tuned to the exigencies that led to survival of the current generation (Geisler and Diehl, 2002). The pro ...
Neural Networks
Neural Networks

... Zhongzhi Shi, Markus Stumptner, Yalei Hao, Gerald Quirchmayr Knowledge and Software Engineering Lab ...
Exploration of Variability of Arkypallidal and Prototypical Projections
Exploration of Variability of Arkypallidal and Prototypical Projections

... autism, Parkinson’s disease and bipolar disorders, are today treated with psychotherapeutic drugs developed from findings brought to light before 1960 in conjunction with clinical observation. Researchers are currently working on mapping the neural pathways for future use in medical purposes. If the ...
Activity of Defined Mushroom Body Output Neurons
Activity of Defined Mushroom Body Output Neurons

... coded between subclasses of the ab KCs (Perisse et al., 2013). How such information is represented in the connections between KCs and particular downstream neurons is currently unclear. Physiological changes after training have been reported in two sets of memory-relevant cholinergic output neurons ...
Role of the Preoptic-Anterior Hypothalamus in
Role of the Preoptic-Anterior Hypothalamus in

... Figure 3 indicates that endogenous substances (such as pyrogens and perhaps some antipyretics as well) affect the activity of preoptic thermosensitive neurons and consequently alter thermoregulation. In response to an endotoxin challenge, macrophages produce endogenous pyrogens (e.g., IL-1). It has ...
Binaural cross-correlation and auditory localization in
Binaural cross-correlation and auditory localization in

the superior Olivary complex
the superior Olivary complex

... information about sound intensity as part of a feedback gain control system comprising the cochlea, cochlear neurons, CN, MOC neurons, and cochlear OHCs (Ghoshal & Kim, 1997; Ye et al., 2000). The function of the LOC neurons is not well understood because their small size and unmyelinated axons make ...
Neurons of the Central Complex of the Locust Schistocerca gregaria
Neurons of the Central Complex of the Locust Schistocerca gregaria

... anesthetized by cooling and were waxed anterior uppermost to a metal holder. The heads of the locusts were immobilized by a wax–rosin mixture, and their legs were removed. For intracellular recordings from the central protocerebrum, a small window was cut into the head capsule between the two compou ...
Neural Transcription Factors: from Embryos to Neural Stem Cells
Neural Transcription Factors: from Embryos to Neural Stem Cells

... and/or delay their differentiation into neural progenitors. For example, in Xenopus embryos, Gmnn maintains NE precursors in a proliferative state by modulating interactions between the SWI/SNF complex and the bHLH transcription factors that promote neural differentiation (Seo and Kroll, 2006; Seo e ...
Mirror neurons in monkey area F5 do not adapt to the observation of
Mirror neurons in monkey area F5 do not adapt to the observation of

... These studies have suggested that adaptation in IT may either depend on a decrease of synaptic efficacy of the afferents carrying visual information to temporal lobe neurons8,12 or it might be the result of improved predictions of experienced visual stimuli (that is, a top–down effect), leading to de ...
Neuronal subtype specification in the cerebral cortex
Neuronal subtype specification in the cerebral cortex

... Neocortical progenitors During early development, there is a dramatic expansion of the neuroepithelium in the dorsolateral wall of the rostral neural tube that will give rise to neocortical projection neurons. The layer immediately adjacent to the ventricle is termed the ventricular zone (VZ). As ne ...
PINP: A New Method of Tagging Neuronal Populations
PINP: A New Method of Tagging Neuronal Populations

... Neural circuits are exquisitely organized, consisting of many different neuronal subpopulations. However, it is difficult to assess the functional roles of these subpopulations using conventional extracellular recording techniques because these techniques do not easily distinguish spikes from differ ...
Prenatal morphine exposure alters the layer II/III pyramidal neurons
Prenatal morphine exposure alters the layer II/III pyramidal neurons

... quickly in vivo and the shape and size of spines also change over time, there is consensus that most spines from cortical pyramidal neurons are stable, and that spine stability is developmentally regulated in visual cortex (Alvarez and Sabatini, 2007; Holtmaat et al., 2005; Majewska et al., 2006). I ...
Spike-Timing Theory of Working Memory
Spike-Timing Theory of Working Memory

... n1, n2, …, n7 have different axonal conduction delays arranged such that the network forms two functional subnetworks, red and black, corresponding to two distinct PNGs, consisting of the same neurons. Firing of neurons n1 and n2 can trigger the whole red or black PNG: (B) If neuron n1 fires followe ...
Development - Publications Repository
Development - Publications Repository

... crest cells emanate in distinct streams from r2, r4 and r6, which are separated by crest-free zones at the levels of r3 and r5 (Lumsden et al., 1991; Sechrist et al., 1993). Neural crest cells actively avoid the cranial mesenchyme at r3 and r5 level, which suggests that inhibitory guidance mechanism ...
Neural correlates for perception of 3d surface orientation from texture
Neural correlates for perception of 3d surface orientation from texture

... disparity signals have been found in the parietal (11, 12) and temporal (13, 14) association cortices. However, binocular disparity is not the only cue for depth perception, because we can perceive depth even with one eye closed. Gibson (15) has proposed that texture gradient is an important cue for ...
- White Rose Research Online
- White Rose Research Online

... by their neurons. We developed an approach for constructing anatomically realistic networks and reconstructed the GABAergic microcircuit formed by the medium spiny neurons (MSNs) and fast-spiking interneurons (FSIs) of the adult rat striatum. We grew dendrite and axon models for these neurons and ex ...
View/Open - Minerva Access
View/Open - Minerva Access

... two mechanisms: top-down feedback and coherence between these oscillations. By forming these units into circuits that can perform logic operations, we identify the different ways in which operations can be initiated and manipulated by top-down feedback. We demonstrate that more sophisticated and fle ...
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Convolutional neural network

In machine learning, a convolutional neural network (CNN, or ConvNet) is a type of feed-forward artificial neural network where the individual neurons are tiled in such a way that they respond to overlapping regions in the visual field. Convolutional networks were inspired by biological processes and are variations of multilayer perceptrons which are designed to use minimal amounts of preprocessing. They are widely used models for image and video recognition.
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