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Large-scale cognitive model design using the Nengo neural simulator
Large-scale cognitive model design using the Nengo neural simulator

... Sugandha Sharma *, Sean Aubin, Chris Eliasmith Centre for Theoretical Neuroscience, University of Waterloo, Waterloo, ON N2L 3G1, Canada Received 23 February 2016; received in revised form 4 May 2016; accepted 18 May 2016 ...
Evolution of Association Pallial Areas: In Birds E
Evolution of Association Pallial Areas: In Birds E

... obtain a reward. The animals were able to use this information, memorizing only relevant stimuli. Most importantly, this selectivity was reflected in the memory-period activity of NCL neurons. The vast majority of neurons showed memory related activity when the birds chose to remember; however, this ...
Memory and Aging - Michigan State University
Memory and Aging - Michigan State University

2008 Unit 3 Biological Bases of Behavior
2008 Unit 3 Biological Bases of Behavior

... Locus coeruleus in the pons (one on each side) Innervates almost every area of the brain  One neuron can make more than 250,000 synapses (it can have one axon branch in the cerebral cortex and another in the cerebellar cortex)  Involved in attention, arousal, sleep-wake cycles, learning, memory, a ...
Spiking Neurons with Boltzmann-like Properties to
Spiking Neurons with Boltzmann-like Properties to

... of 200 neurons that belonged only to that pattern. Similarly, the Output net was broken into two patterns of 200 neurons each, Y es and N o. An alternative presentation mechanism would have been four input patterns, A, notA, B and notB. It can be argued that the input pattern used is more natural as ...
The Past, Present, and Future of Cognitive Architectures - ACT-R
The Past, Present, and Future of Cognitive Architectures - ACT-R

... An even more recent development in cognitive architectures is to find additional strength of the theory through neuroscience. One set of constraints can be derived from the fact that the brain implements the cognitive architecture. This means that all processes in the architecture at some level of a ...
Realistic synaptic inputs for model neural networks
Realistic synaptic inputs for model neural networks

... set e q d to the excitatory ne.The two -yes intersect at rates corresponding to a d e n t state, E = 0, an unstable intermediate state and a stable self-sustainedfiring state for whidt the firing rate is essentially the maximum srnglenevron rate. The firing rate for this state is unrealistically hig ...
Contributions and challenges for network models in cognitive
Contributions and challenges for network models in cognitive

... have provided insight into the basic structures and mechanisms that enable integrative neural processes. Network models have also been instrumental in understanding the role of structural brain networks in generating spatially and temporally organized brain activity. Despite these contributions, net ...
Preview Sample 2
Preview Sample 2

... • The myelin sheath, the fatty white coating of the axon, prevents impulses from being misdirected. 2.3 Neurotransmitters: The Neuron's Messengers: What are neurotransmitters, and what do they contribute to nervous system functioning? • Neurotransmitters are chemicals released into the synaptic clef ...
Maqam as a Second Language: Using Arabic Music as a Lens for
Maqam as a Second Language: Using Arabic Music as a Lens for

... depending on where they occur within a phrase (158), but cannot ...
A Learning Rule for the Emergence of Stable Dynamics and Timing
A Learning Rule for the Emergence of Stable Dynamics and Timing

... FIG. 3. Recurrency and fixed synaptic ratios contribute to the lack of convergence. A: average number of spikes per cell (not Ai) over 2,000 training trials, in networks in which each neurons received 1 (black), 2 (red), or 4 (blue) from other excitatory neurons. With nEx 3 Ex ⫽ 1, synaptic scaling ...
A NEW CHALLENGE FOR CONTEMPORARY MARKETING
A NEW CHALLENGE FOR CONTEMPORARY MARKETING

... Sheth, 1969). Neuroimaging techniques have evolved dramatically in the past years while equipment costs went down, thus allowing researchers to use them on a larger scale in order to “peek” into the consumers’ brain and discover brain reactions that are at the basis of complex cognitive processes. T ...
Nervous Notes File
Nervous Notes File

...  You are born with all of the nerve cells you will ever ...
the brain as a system of aggregation of social, behavioral and
the brain as a system of aggregation of social, behavioral and

... the level of satisfaction of its needs to the level that the family provides the child. This creates the future level of the child claims. If during the process of maturation in disharmonised family some variables of genetic nets of neurons are determined, it will be very difficult or impossible to ...
Cell Assembly Sequences Arising from Spike
Cell Assembly Sequences Arising from Spike

... tions were consistent from trial to trial, and the time (sec) elapsed time (sec) model was driven by temporally and spatially unstructured noise I(t); different instances of Figure 1. Time prediction from sequential neural activity in a memory task. A, Average raster over 18 s for a population of no ...
new nerve cells for the adult brain
new nerve cells for the adult brain

... humans possess a capacity for neurogenesis in adulthood could be resolved only by studying people directly. Yet such studies seemed impossible, because the methods applied to demonstrate new neuron formation in animals did not appear to be transferable to people. Those techniques vary but usually ta ...
I study the neural circuits that move bodies
I study the neural circuits that move bodies

... local field potential (LFP) recordings. LFP waves correlate with both fictive trills and LLDs, and have phasic “spikes” that roughly correlate with each click. It's possible to transect the brain between n.IX-X and DTAM and continue to observe LFP waves – though their phasic trill-like activity is l ...
A. What is a neuron? 1. A neuron is a type of cell that receives and
A. What is a neuron? 1. A neuron is a type of cell that receives and

... 5. When the potential across an axon membrane reaches threshold, voltage-activated (membrane channels whose permeability depends on the voltage difference across the membrane) Na+ gates open and allow sodium ions to enter; this causes the membrane potential to depolarize past zero to a reversed pola ...
The Potential of Treating Alzheimer`s disease with Intranasal Light
The Potential of Treating Alzheimer`s disease with Intranasal Light

... pathogen entering the brain via olfactory pathways allowed by a dysfunctional olfactory bulb.  ...
Neural Compensations After Lesion of the Cerebral
Neural Compensations After Lesion of the Cerebral

... is considerable localization of function in the cerebral cortex, there has been a rediscovery of the ideas that the brain may be flexible after an injury (for a historical review see Benton & Tranel, 2000). With the recognition that some form of functional compensation is possible after cerebral inj ...
This file has Chapter II: Structural differentiation of the brain • Neural
This file has Chapter II: Structural differentiation of the brain • Neural

... folds) by a midline depression, the neural groove, which also defines a longitudinal axis bounded rostrally by the oropharyngeal membrane and caudally by the primitive (Hensen’s) node. According to Källén (1952), the mouse neural groove has a dual origin, appearing first (at the one somite stage; al ...
ExampleDesignDescription
ExampleDesignDescription

... You can determine the spots with respect to the size of the image in both X and Y values the spots correspond to the pixels. The ganglion weight can be modified as a float to increase the accuracy. You can also set the ganglion size of the cells and only accepted values are odd numbers. The number o ...
Parts of the nervous system
Parts of the nervous system

... her allergy from attacking again. 1. Improper use of antibiotics often leads to deafness. Therefore it destroys the sensory neurons/receptors in the ears that receive sound waves. True ...
PDF - Oxford Academic - Oxford University Press
PDF - Oxford Academic - Oxford University Press

... strength of recurrent excitatory synapses is sufficiently strong, the network exhibits bell-shaped persistent activity patterns (or bump attractors) that can store the memory of a spatial location as an analog quantity. These mnemonic states coexist with a spontaneously active baseline state, so that ...
292(1):94-106
292(1):94-106

... structure is intimately connected to normal brain function, as abnormalities in brain structure during development are correlated with a wide range of neurodevelopmental disorders (Kurokawa et al., 2000; Gilmore et al., 2001; Hardan et al., 2001; Rehn and Rees, 2005; Nopoulos et al., 2007). Brain mo ...
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Holonomic brain theory

The holonomic brain theory, developed by neuroscientist Karl Pribram initially in collaboration with physicist David Bohm, is a model of human cognition that describes the brain as a holographic storage network. Pribram suggests these processes involve electric oscillations in the brain's fine-fibered dendritic webs, which are different from the more commonly known action potentials involving axons and synapses. These oscillations are waves and create wave interference patterns in which memory is encoded naturally, and the waves may be analyzed by a Fourier transform. Gabor, Pribram and others noted the similarities between these brain processes and the storage of information in a hologram, which can also be analyzed with a Fourier transform. In a hologram, any part of the hologram with sufficient size contains the whole of the stored information. In this theory, a piece of a long-term memory is similarly distributed over a dendritic arbor so that each part of the dendritic network contains all the information stored over the entire network. This model allows for important aspects of human consciousness, including the fast associative memory that allows for connections between different pieces of stored information and the non-locality of memory storage (a specific memory is not stored in a specific location, i.e. a certain neuron).
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