Brief announcement: Integrating temporal information to spatial information in a neural circuit
© Nancy Lynch and Mien Brabeeba Wang. In this paper, we consider networks of deterministic spiking neurons, firing synchronously at discrete times. We consider the problem of translating temporal information into spatial information in such networks, an important task that is carried out by actual b...
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| Format: | Article |
| Language: | English |
| Published: |
2021
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| Online Access: | https://hdl.handle.net/1721.1/137573.2 |
| _version_ | 1811086353725652992 |
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| author | Lynch, Nancy Ann Wang, Mien Brabeeba |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Lynch, Nancy Ann Wang, Mien Brabeeba |
| author_sort | Lynch, Nancy Ann |
| collection | MIT |
| description | © Nancy Lynch and Mien Brabeeba Wang. In this paper, we consider networks of deterministic spiking neurons, firing synchronously at discrete times. We consider the problem of translating temporal information into spatial information in such networks, an important task that is carried out by actual brains. Specifically, we define two problems: “First Consecutive Spikes Counting” and “Total Spikes Counting”, which model temporal-coding and rate-coding aspects of temporal-to-spatial translation respectively. Assuming an upper bound of T on the length of the temporal input signal, we design two networks that solve two problems, each using O(log T) neurons and terminating in time T + 1. We also prove that these bounds are tight. |
| first_indexed | 2024-09-23T13:24:48Z |
| format | Article |
| id | mit-1721.1/137573.2 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T13:24:48Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | mit-1721.1/137573.22021-11-16T14:41:44Z Brief announcement: Integrating temporal information to spatial information in a neural circuit Lynch, Nancy Ann Wang, Mien Brabeeba Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science © Nancy Lynch and Mien Brabeeba Wang. In this paper, we consider networks of deterministic spiking neurons, firing synchronously at discrete times. We consider the problem of translating temporal information into spatial information in such networks, an important task that is carried out by actual brains. Specifically, we define two problems: “First Consecutive Spikes Counting” and “Total Spikes Counting”, which model temporal-coding and rate-coding aspects of temporal-to-spatial translation respectively. Assuming an upper bound of T on the length of the temporal input signal, we design two networks that solve two problems, each using O(log T) neurons and terminating in time T + 1. We also prove that these bounds are tight. 2021-11-16T14:41:43Z 2021-11-05T18:41:16Z 2021-11-16T14:41:43Z 2019 2021-01-29T15:00:51Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/137573.2 Lynch, N and Wang, MB. 2019. "Brief announcement: Integrating temporal information to spatial information in a neural circuit." Leibniz International Proceedings in Informatics, LIPIcs, 146. en http://dx.doi.org/10.4230/LIPIcs.DISC.2019.48 Leibniz International Proceedings in Informatics, LIPIcs Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/octet-stream DROPS |
| spellingShingle | Lynch, Nancy Ann Wang, Mien Brabeeba Brief announcement: Integrating temporal information to spatial information in a neural circuit |
| title | Brief announcement: Integrating temporal information to spatial information in a neural circuit |
| title_full | Brief announcement: Integrating temporal information to spatial information in a neural circuit |
| title_fullStr | Brief announcement: Integrating temporal information to spatial information in a neural circuit |
| title_full_unstemmed | Brief announcement: Integrating temporal information to spatial information in a neural circuit |
| title_short | Brief announcement: Integrating temporal information to spatial information in a neural circuit |
| title_sort | brief announcement integrating temporal information to spatial information in a neural circuit |
| url | https://hdl.handle.net/1721.1/137573.2 |
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