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How Do We Know That We Know? The Accessibility Model
How Do We Know That We Know? The Accessibility Model

... The assumption, then, is that subjects have direct access to the information pertaining to the presence of the solicited item in memory and that this information appears in a ready-made format. At first sight, this solution to the question of how one knows that one knows appears to raise the homuncu ...
Laminar  Selectivity of  the  Cholinergic Suppression of  Synaptic
Laminar Selectivity of the Cholinergic Suppression of Synaptic

... Levy, 1992), each synapse in s. l-m had a total strength of 0.4 in simulations of pure heteroassociative memory function. Since L,, was the identity matrix in these simulations, the total input to each CA1 neuron from s. l-m was therefore 0.4. In contrast, the synaptic connectivity matrix in s. rad ...
Spike-based Winner-Take-All Computation in a Multi
Spike-based Winner-Take-All Computation in a Multi

... The winner-take-all is a neuronal network that amplifies the strongest set of inputs and suppresses output from the others. In various neuroscience models, this function is used to make a selection out of a possible set of decisions dependent on the input. As we develop artificial spike-based system ...
do simultaneously presented visual and auditory
do simultaneously presented visual and auditory

... in education, business, and media. Although the context of the study is based on a recent TV concept (i.e., auditory and visual stimuli presented at the same time), if we know that presentation of both auditory and visual stimuli in a specific condition causes more interference with attention, we co ...
Technologies émergentes de mémoire résistive pour les systèmes
Technologies émergentes de mémoire résistive pour les systèmes

... This dissertation was written and submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy (Nanoelectronics and Nanotechnology) in The University of Grenoble, 2013. The topic addressed in the manuscript focuses on the use of emerging resistive memory technology for ...
Neural Networks
Neural Networks

... SNIPE: This manuscript frequently incorporates Snipe. Shaded Snipe-paragraphs cost for non-commercial purposes. It was like this one are scattered among large originally designed for high performance parts of the manuscript, providing inforsimulations with lots and lots of neural mation on how to im ...
Neural Networks
Neural Networks

... SNIPE: This manuscript frequently incorporates Snipe. Shaded Snipe-paragraphs cost for non-commercial purposes. It was like this one are scattered among large originally designed for high performance parts of the manuscript, providing inforsimulations with lots and lots of neural mation on how to im ...
Olfactory Learning in Drosophila: Learning from Models
Olfactory Learning in Drosophila: Learning from Models

... LI (see the right side of the lower part of Fig. 1). Flies show a conditioned approach towards the trained odor in the test. We interpret this as a change of the hedonic value of the US. The associative strength is less strong than for delay conditioning and the ISI range for learning is smaller. Th ...
Contrasting Effects of Reward Expectation on Sensory and Motor
Contrasting Effects of Reward Expectation on Sensory and Motor

... the pre-cue ‘control’ period (the 1 s duration before the cue onset) to examine whether the neuron showed significant task-related activities. If the mean discharge rate in a given period was significantly different from that in the control period (Mann--Whitney U-test, P < 0.05), the neuron was consi ...
Memory
Memory

... • Comparison with Piaget’s Theory—Like Piaget: – Some information-processing psychologists are constructivist and see children as directing their own cognitive development. – Information-processing psychologists describe ways in which children do and do not understand important concepts at different ...
Creating associative memory distortions
Creating associative memory distortions

... into Polish by two independent translators. All discrepancies in the translation were discussed and one form of translation was chosen. Next, the participants were asked to write down their first association for each word. After that association the frequency ranking for each word was prepared. If d ...
Neural Networks
Neural Networks

... SNIPE 1 is a well-documented JAVA library that implements a framework for neural networks in a speedy, feature-rich and usable way. It is available at no cost for non-commercial purposes. It was originally designed for high performance simulations with lots and lots of neural networks (even large on ...
the phase-space dynamics of systems of spiking neurons
the phase-space dynamics of systems of spiking neurons

... This thesis investigates the dynamics of systems of neurons in the brain. It considers two questions: (1) Are there coherent spatiotemporal structures in the dynamics of neuronal systems that can denote discrete computational states, and (2) If such structures exist, what restrictions do the dynamic ...
Phonological similarity and the irrelevant speech
Phonological similarity and the irrelevant speech

... sounds which presumably may be identified by the listener as words or possibly longer prosodic units such as phrases and sentences. When irrelevant speech is present, a different set of items and their associated order cues also enter the memory store. Memory disruption is attributed to the confusio ...
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 ...
A Cortical Substrate for Memory
A Cortical Substrate for Memory

... periodic train of auditory clicks was played. Click rates higher than 50 clicks/s indicated that a water reward would be available from the left port; click rates lower than 50 clicks/s indicated reward would be available from the right port. On memory trials (orange), the click train was played nea ...
Structure of Receptive Fields in Area 3b of Primary Somatosensory
Structure of Receptive Fields in Area 3b of Primary Somatosensory

... et al., 1991). On each recording day, a multielectrode microdrive (Mountcastle et al., 1991) was loaded with seven quartz-coated platinum /tungsten (90/10) electrodes (diameter, 80 mm; tip diameter, 4 mm; and impedance, 1–5 MV at 1000 Hz). Each electrode was coated with one of three fluorescent dyes ...
Binary neurons and networks
Binary neurons and networks

... When an axon of cell A is near enough to excite cell B and repeatedly or persistently takes part in firing it, some growth process or metabolic change takes place in one or both cells such that A's efficiency, as one of the cells firing B, is increased. (1949) Donald Hebb ...
Spatial and Temporal Structure of Receptive Fields in Primate
Spatial and Temporal Structure of Receptive Fields in Primate

... Spatial and Temporal Structure of Receptive Fields in Primate Somatosensory Area 3b: Effects of Stimulus Scanning Direction and Orientation James J. DiCarlo and Kenneth O. Johnson Krieger Mind/Brain Institute, Departments of Neuroscience and Biomedical Engineering, Johns Hopkins University, ...
the resonate-and-fire neuron: time dependent and frequency
the resonate-and-fire neuron: time dependent and frequency

... general approach utilized to model the various electrophysiological aspects of neurons. Panel (A) in figure 1.1 depicts the various specialized cellular processes that characterizes nerve cells, and panel (B) represents a general model neuron. The cell body corresponds to the metabollic center of a ...
Laminar Cortical Dynamics of Cognitive and Motor Working Memory
Laminar Cortical Dynamics of Cognitive and Motor Working Memory

... simplified. A more detailed specification is provided in Sections 4 and 5 and in Figure 2. Abbreviations: MGN, thalamic medial geniculate nucleus; A1/A2, core and extended auditory cortex in the superior temporal gyrus; LGN, thalamic lateral geniculate nucleus; V1/V2/V3, early visual processing occu ...
CCNBook/Neuron
CCNBook/Neuron

... being important, which will vary depending on the scientific questions being addressed with the model. The approach taken for the models in this book is to find some kind of happy (or unhappy) middle ground between biological detail and cognitive functionality. This middle ground is unhappy to the e ...
The impact of iconic gestures on foreign language word learning
The impact of iconic gestures on foreign language word learning

... whether the enhancing effect on verbal memory when performing a speech gesture during word learning is caused by the physical performance of the action itself, by the reactivation of a mental image, or possibly both. We reason that if the enhancement only depends on motor activity or on multimodalit ...
Updating verbal and visuospatial working memory: Are the
Updating verbal and visuospatial working memory: Are the

... passive phonological short-term store. Another study used position emission tomography (PET) to investigate the cortical regions for the maintenance of spatial versus phonological information in working memory[18]. They found that bilateral anterior and posterior intraparietal sulcus, as well as rig ...
Synaptic Pruning in Development: A Novel Account in Neural Terms
Synaptic Pruning in Development: A Novel Account in Neural Terms

... One of the fundamental phenomena in brain development is the reduction in the amount of synapses that occurs between early childhood and puberty. In recent years, many studies have investigated the temporal course of changes in synaptic density in primates, revealing the following picture. Beginning ...
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Sparse distributed memory

Sparse distributed memory (SDM) is a mathematical model of human long-term memory introduced by Pentti Kanerva in 1988 while he was at NASA Ames Research Center. It is a generalized random-access memory (RAM) for long (e.g., 1,000 bit) binary words. These words serve as both addresses to and data for the memory. The main attribute of the memory is sensitivity to similarity, meaning that a word can be read back not only by giving the original write address but also by giving one close to it, as measured by the number of mismatched bits (i.e., the Hamming distance between memory addresses).SDM implements transformation from logical space to physical space using distributed data storing. A value corresponding to a logical address is stored into many physical addresses. This way of storing is robust and not deterministic. A memory cell is not addressed directly. If input data (logical addresses) are partially damaged at all, we can still get correct output data.The theory of the memory is mathematically complete and has been verified by computer simulation. It arose from the observation that the distances between points of a high-dimensional space resemble the proximity relations between concepts in human memory. The theory is also practical in that memories based on it can be implemented with conventional RAM-memory elements.
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