Sparse coding in the primate cortex
... especially in infero-temporal cortex (IT). Cells’ preferences in IT are often difficult to account for by reference to simple stimulus features, such as orientation, motion, position, or color, and they appear to lie in the domain of shape (Gross, Rocha-Miranda, and Bender, 1972; Perrett et al., 198 ...
... especially in infero-temporal cortex (IT). Cells’ preferences in IT are often difficult to account for by reference to simple stimulus features, such as orientation, motion, position, or color, and they appear to lie in the domain of shape (Gross, Rocha-Miranda, and Bender, 1972; Perrett et al., 198 ...
Principle of Superposition-free Memory - Deep Blue
... respond to their calls and do so before too many receptors lose their conformation and before fixation wears off, the memory will be maintained indefinitely. In principle intracellular potentials could also be used for reloading. If the brain is cooled to extremely low temperatures the receptor conf ...
... respond to their calls and do so before too many receptors lose their conformation and before fixation wears off, the memory will be maintained indefinitely. In principle intracellular potentials could also be used for reloading. If the brain is cooled to extremely low temperatures the receptor conf ...
chp10
... simulate the work of our brain in order to solve problems related to recognition Hardware or software implementation Each node represents the nucleus of a neuron Each node has a specific threshold value Each node has a number of weighted input lines; the dendrites Each node has a number of output li ...
... simulate the work of our brain in order to solve problems related to recognition Hardware or software implementation Each node represents the nucleus of a neuron Each node has a specific threshold value Each node has a number of weighted input lines; the dendrites Each node has a number of output li ...
Synaptic energy efficiency in retinal processing
... outputs are equated to neuronal firing rates. It is within this framework that we attempt to understand the consequences of maximising information transmission whilst minimising the metabolic costs associated with synaptic transmission. Following Bell and Sejnowski (1997), Harpur (1997) and Olshausen ...
... outputs are equated to neuronal firing rates. It is within this framework that we attempt to understand the consequences of maximising information transmission whilst minimising the metabolic costs associated with synaptic transmission. Following Bell and Sejnowski (1997), Harpur (1997) and Olshausen ...
Thai Buddhist Amulet Recognition System - IA
... Basically, the traders have many kinds of Buddhist amulet, so the skill they need is to remember them. It is very important because traders have to manage their collection or share necessary information requested by other traders. Lacking of ability to remember those amulets is a problem for traders ...
... Basically, the traders have many kinds of Buddhist amulet, so the skill they need is to remember them. It is very important because traders have to manage their collection or share necessary information requested by other traders. Lacking of ability to remember those amulets is a problem for traders ...
Magnetic-resonance-imaging
... most used neural network. First one having advantage of taking problem as an optimizing issue and thus no pre-experimental knowledge req2uired. Second one controls efficiently compromise between noise performance and resolution of image. Hence implementation is easy with conceptual simplicity. Time ...
... most used neural network. First one having advantage of taking problem as an optimizing issue and thus no pre-experimental knowledge req2uired. Second one controls efficiently compromise between noise performance and resolution of image. Hence implementation is easy with conceptual simplicity. Time ...
Aldwin de Guzman Abstract - UF Center for Undergraduate Research
... revolutionary step in quantifying neurophysiological signal integration; however, their method reports only peaks of ‘integrated’ activity to quantitatively assess neural output. While widely used, this method ignores signal dynamics and patterning. Our goal is to improve methods of signal quantific ...
... revolutionary step in quantifying neurophysiological signal integration; however, their method reports only peaks of ‘integrated’ activity to quantitatively assess neural output. While widely used, this method ignores signal dynamics and patterning. Our goal is to improve methods of signal quantific ...
3680Lecture13 - U of L Class Index
... The Feed-Forward Sweep • Hierarchy can be defined more functionaly • The feed-forward sweep is the initial response of each visual area “in turn” as information is passed to it from a “lower” area • Consider the latencies of the first responses in various areas ...
... The Feed-Forward Sweep • Hierarchy can be defined more functionaly • The feed-forward sweep is the initial response of each visual area “in turn” as information is passed to it from a “lower” area • Consider the latencies of the first responses in various areas ...
Tom`s JSNC2000 paper
... efficacy/connectivity of a large number of neurons, enhancing or depressing activity along specific pathways across an entire population of dissociated cultured neurons (Jimbo et al., 1999). Thus, by combining each of these: 1) the ability to record and produce movement in a biologically plausible r ...
... efficacy/connectivity of a large number of neurons, enhancing or depressing activity along specific pathways across an entire population of dissociated cultured neurons (Jimbo et al., 1999). Thus, by combining each of these: 1) the ability to record and produce movement in a biologically plausible r ...
An octopaminergic system in the CNS of the snails, Lymnaea
... network of the pond snail Lymnaea stagnalis Ágnes Vehovszky and C.J.H. Elliott, In the intact pond snail Lymnaea stagnalis, octopaminergic antagonists block the feeding response to sucrose (Vehovszky et al 1998). The paired buccal ganglia contain 3 octopamineimmunoreactive neurons (OC cells) (Elekes ...
... network of the pond snail Lymnaea stagnalis Ágnes Vehovszky and C.J.H. Elliott, In the intact pond snail Lymnaea stagnalis, octopaminergic antagonists block the feeding response to sucrose (Vehovszky et al 1998). The paired buccal ganglia contain 3 octopamineimmunoreactive neurons (OC cells) (Elekes ...
From circuits to behavior: a bridge too far?
... it answered a longstanding question about direction selectivity (a computation). However, this approach will do little to explain how various computations are used together to produce behavior (Fig. 2). More generally, knowing a map of connections may not be as useful as one expects, especially ...
... it answered a longstanding question about direction selectivity (a computation). However, this approach will do little to explain how various computations are used together to produce behavior (Fig. 2). More generally, knowing a map of connections may not be as useful as one expects, especially ...
neuron
... • axon: the long, cable-like extension that delivers messages to other neurons • myelin sheath: layer of fatty tissue that insulates the axon and helps speed up message transmission – multiple sclerosis: deterioration of myelin leads to slowed communication with muscles and impaired sensation in lim ...
... • axon: the long, cable-like extension that delivers messages to other neurons • myelin sheath: layer of fatty tissue that insulates the axon and helps speed up message transmission – multiple sclerosis: deterioration of myelin leads to slowed communication with muscles and impaired sensation in lim ...
Presentation 3
... Inference in Bayesian Networks How can one infer the (probabilities of) values of one or more network variables given observed values of others? Bayes net contains all information needed for this inference If only one variable with unknown value, easy to infer it In general case, problem is N ...
... Inference in Bayesian Networks How can one infer the (probabilities of) values of one or more network variables given observed values of others? Bayes net contains all information needed for this inference If only one variable with unknown value, easy to infer it In general case, problem is N ...
Questions Arising from a Proto-Neural Cognitive Architecture
... biology of neurons at least at the level of the spiking behaviour of individual neurons. There is still much detail that the spiking model obscures. For example, the effects of different neurotransmitters, or of the length and thickness of axonal fibres, is subsumed in the spiking model, and the res ...
... biology of neurons at least at the level of the spiking behaviour of individual neurons. There is still much detail that the spiking model obscures. For example, the effects of different neurotransmitters, or of the length and thickness of axonal fibres, is subsumed in the spiking model, and the res ...
Full Text PDF - Jaypee Journals
... Shiga University of Medical Science, Otsu, Shiga, Japan Corresponding Author: Kohei Shiota, President, Shiga University of Medical Science, Otsu, Shiga-520-2192, Japan Phone: +81-775482000, e-mail: [email protected] ...
... Shiga University of Medical Science, Otsu, Shiga, Japan Corresponding Author: Kohei Shiota, President, Shiga University of Medical Science, Otsu, Shiga-520-2192, Japan Phone: +81-775482000, e-mail: [email protected] ...
Technical description of GSoC project 14
... in the format given above and a way to set up the connectivity matrix which is compatible with other MOOSE objects. Development roadmap 1. Write an efficient differential equation solver (or use GSL) which can solve the kind of equations given above. a. This should do variable step size integration ...
... in the format given above and a way to set up the connectivity matrix which is compatible with other MOOSE objects. Development roadmap 1. Write an efficient differential equation solver (or use GSL) which can solve the kind of equations given above. a. This should do variable step size integration ...
Orexin-A excites rat lateral vestibular nucleus neurons and improves
... Orexin is a newly discovered peptide which is synthesized exclusively within the lateral hypothalamic area and perifornical area. Lack of orexin neurons causes narcolepsy-cataplexy, which is characterized by excessive daytime sleepiness, premature transitions to REM sleep, and sudden skeletal muscle ...
... Orexin is a newly discovered peptide which is synthesized exclusively within the lateral hypothalamic area and perifornical area. Lack of orexin neurons causes narcolepsy-cataplexy, which is characterized by excessive daytime sleepiness, premature transitions to REM sleep, and sudden skeletal muscle ...
The relationship between the activity of neurons recorded
... Accurate decoding of the neural activity in the primary motor cortex (M1) could be very useful for brain machine interface applications such as computer displays or prosthetic limbs. In this study we examined information coding in M1 neurons to elucidate the relationship between the activity of M1 n ...
... Accurate decoding of the neural activity in the primary motor cortex (M1) could be very useful for brain machine interface applications such as computer displays or prosthetic limbs. In this study we examined information coding in M1 neurons to elucidate the relationship between the activity of M1 n ...
Models of retinotopic development - damtp
... 3. Competition for resources A third key mechanism is that of competition for limited resources. For example, SC neurons can receive only a finite amount of inputs, and RGC axons can make only a limited amount of contacts. Competition comes in many forms, which can be described by a class of mathema ...
... 3. Competition for resources A third key mechanism is that of competition for limited resources. For example, SC neurons can receive only a finite amount of inputs, and RGC axons can make only a limited amount of contacts. Competition comes in many forms, which can be described by a class of mathema ...
ch12Boundarygabor
... (primary visual centre) • Neurons are edge detectors fires when an edge of a particular (LGN) orientation is present infrequent output ...
... (primary visual centre) • Neurons are edge detectors fires when an edge of a particular (LGN) orientation is present infrequent output ...
Proceedings of 2014 BMI the Third International Conference on
... On one hand neuroscience is rich in data and poor in theory. On the other hand, many computer scientists are busy with engineering inspired methods, not motivated by brain in ...
... On one hand neuroscience is rich in data and poor in theory. On the other hand, many computer scientists are busy with engineering inspired methods, not motivated by brain in ...
Prediction of lower extremities` movement by angle–angle diagrams
... identify the defects in the movement and for applying the cyclograms in the control system of the actuators of prosthesis or rehabilitation facilities. This is why we use artificial intelligence methods which are implemented in MatLab toolboxes [18], [19]. We can use, for example, the artificial neu ...
... identify the defects in the movement and for applying the cyclograms in the control system of the actuators of prosthesis or rehabilitation facilities. This is why we use artificial intelligence methods which are implemented in MatLab toolboxes [18], [19]. We can use, for example, the artificial neu ...
2 Brain and Classical Neural Networks
... A very important anatomical fact is that each neuron receives some 104 synaptic inputs from the axons of other neurons, usually one input per presynaptic neuron, and that each branching neural axon forms about the same number (∼ 104 ) of synaptic contacts on other, postsynaptic neurons. A closer loo ...
... A very important anatomical fact is that each neuron receives some 104 synaptic inputs from the axons of other neurons, usually one input per presynaptic neuron, and that each branching neural axon forms about the same number (∼ 104 ) of synaptic contacts on other, postsynaptic neurons. A closer loo ...
Analogy-based Reasoning With Memory Networks - CEUR
... function l(el , er ) = zTl M zr , where zl and zr are the concatenated word embeddings xs , xvl , xo and xs , xvr , xo , respectively, and parameter matrix M ∈ R3d×3d . We denote this model as Bai2009. We also test three neural network architecture that were proposed in different contexts. The model ...
... function l(el , er ) = zTl M zr , where zl and zr are the concatenated word embeddings xs , xvl , xo and xs , xvr , xo , respectively, and parameter matrix M ∈ R3d×3d . We denote this model as Bai2009. We also test three neural network architecture that were proposed in different contexts. The model ...