|Source||Hyper Articles en Ligne (HAL)|
|Subject Keyword||math ♦ sdv ♦ Mathematics [math]/Probability [math.PR] ♦ Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences|
|Abstract||Network models of Memory: Capacity of neural networks in memorising external inputs is a complex problem which has given rise to numerous research. It is widely accepted that memory sits where communication between two neurons takes place, in synapses. It involves a huge number of chemical reactions, cascades, ion flows, protein states and even more mechanisms, which makes it really complex. Such a complexity stresses the need of simplifying models: this is done in network models of memory. Problem: Most of these models don't take into account both synaptic plasticity and neural dynamic. Adding dynamics on the weights makes the analysis more difficult which explains that most models consider either a neural or a synaptic weight dynamic. We decided to study the binary synapses model of Amit and Fusi (1994), model we wish to complete with a neural network afterwards in order to get closer to biology. Purpose: Propose a rigorous mathematical approach of the model of Amit and Fusi (1994) as part of a more ambitious aim which is to have a general mathematical framework adapted to many models of memory.|
|Learning Resource Type||Poster|
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
For any issue or feedback, please write to email@example.com