A spiking neural model for flexible representation and recall of cognitive response sequences
| Main Author: | |
|---|---|
| Language: | English |
| Published: |
University of Cincinnati / OhioLINK
2011
|
| Subjects: | |
| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=ucin1305893537 |
| id |
ndltd-OhioLink-oai-etd.ohiolink.edu-ucin1305893537 |
|---|---|
| record_format |
oai_dc |
| spelling |
ndltd-OhioLink-oai-etd.ohiolink.edu-ucin13058935372021-08-03T06:14:35Z A spiking neural model for flexible representation and recall of cognitive response sequences Vasa, Suresh Electrical Engineering spiking neuron sequence learning competitive queuing All cognitive processes from motor control to complex actions like the thinking, idea generation, decision-making, etc., emerge from a process of self-organization in the brain-body system. Many of these processes involve learning sequences of simple responses or actions as a single “chunk” of memory. A recall process can load these chunks from memory and allow them to unfold as sequences of motor actions, thoughts, etc. Thus, sequence learning and recall represents one of the most fundamental aspects of cognitive function. This has led to the development of many computational models. However, almost all of these models are based on associative chaining, which involves associating current elements with previous elements in a sequence. Such approaches have disadvantages like cumulative buildup of associations as the sequences become complex, large memory requirements, etc. An alternative to this approach is one where a sequence is encoded as a spatial pattern of neural activity which can be read out as a sequence by a neural response system because of its intrinsic dynamics. These spatial patterns can be stored as attractors in recurrent neural networks. This thesis presents a simple spiking neural model that uses the latter approach to sequence representation. Based on a previously developed model called competitive queuing, it uses attractor based representations of sequences and response elements that compete for a place in the sequence. It also adds a way to modulate the tempo of the recalled sequences to allow several patterns to be generated from a single stored memory. Thus, it represents a powerful and biologically plausible model for the flexible storage and recall of cognitive response sequences. 2011-09-26 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1305893537 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1305893537 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
| collection |
NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Electrical Engineering spiking neuron sequence learning competitive queuing |
| spellingShingle |
Electrical Engineering spiking neuron sequence learning competitive queuing Vasa, Suresh A spiking neural model for flexible representation and recall of cognitive response sequences |
| author |
Vasa, Suresh |
| author_facet |
Vasa, Suresh |
| author_sort |
Vasa, Suresh |
| title |
A spiking neural model for flexible representation and recall of cognitive response sequences |
| title_short |
A spiking neural model for flexible representation and recall of cognitive response sequences |
| title_full |
A spiking neural model for flexible representation and recall of cognitive response sequences |
| title_fullStr |
A spiking neural model for flexible representation and recall of cognitive response sequences |
| title_full_unstemmed |
A spiking neural model for flexible representation and recall of cognitive response sequences |
| title_sort |
spiking neural model for flexible representation and recall of cognitive response sequences |
| publisher |
University of Cincinnati / OhioLINK |
| publishDate |
2011 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1305893537 |
| work_keys_str_mv |
AT vasasuresh aspikingneuralmodelforflexiblerepresentationandrecallofcognitiveresponsesequences AT vasasuresh spikingneuralmodelforflexiblerepresentationandrecallofcognitiveresponsesequences |
| _version_ |
1719433355703877632 |