Using an artificial neural network for studying the interneuronal layer of a leech neuronal circuit
We have modeled the neuronai circuit that conveys mechanosensory input onto a pair of serotonergic neurons in the nervous system of the leech. The objective of this work is to use an artificial neural networks (ANN) in the investigation of the interneuronal layer of this circuit, which represents an...
Guardado en:
| Autor principal: | |
|---|---|
| Otros Autores: | |
| Formato: | Acta de conferencia Capítulo de libro |
| Lenguaje: | Inglés |
| Publicado: |
Springer Verlag
1997
|
| Acceso en línea: | Registro en Scopus Handle Registro en la Biblioteca Digital |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
| LEADER | 04346caa a22005537a 4500 | ||
|---|---|---|---|
| 001 | PAPER-20190 | ||
| 003 | AR-BaUEN | ||
| 005 | 20230518205135.0 | ||
| 008 | 190411s1997 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-84902129805 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 100 | 1 | |a Santos, J.M. | |
| 245 | 1 | 0 | |a Using an artificial neural network for studying the interneuronal layer of a leech neuronal circuit |
| 260 | |b Springer Verlag |c 1997 | ||
| 506 | |2 openaire |e Política editorial | ||
| 504 | |a Borst, A., Egelhaaf, M., (1994) TINS, 17, pp. 257-263 | ||
| 504 | |a Chapeau-Blondeau, F., Chauvet, G., (1991) Biol, Cyb., 65, pp. 267-279 | ||
| 504 | |a Hertz, A., Krogh, A., Patrner, R.G., (1990) Introduction to the Theory F Nral Computation, , Addison-Wesley Publishing | ||
| 504 | |a Houk, J., Singh, S., Fisher, C., Barto, A.G., (1992) Neural Network for Eonlroi, pp. 301-348. , Chapter 13 | ||
| 504 | |a Gu, X., Muller, K.J., Young, S.R., (1991) J. Physiol., 441, pp. 733-754 | ||
| 504 | |a Lockery, S.R., Sejnowsky, T.J., (1993) TINS, 16, pp. 283-290 | ||
| 504 | |a Lockery, S.R., Kristan Jr., W.B., (1990) J. Neurosci, 10, pp. 1816-1829 | ||
| 504 | |a Rumelhart, D., McClelland, J., (1986) Parallel Distributed Processing, , MIT Press | ||
| 504 | |a Segev, I., (1992) TINS, pp. 414-421 | ||
| 504 | |a Smith, R.G., (1993) Uger's Manual, , Version 3-4, Univ. of PA Medical School, Phila | ||
| 504 | |a Szczupak, L., Jigtan Jr., W.B.K., (1995) J. Neurophysiol., 74, pp. 2614-2623 | ||
| 504 | |a Szczupak, L., Kristan Jr., W.B., (1996) Soc. Neurosci. Abs., 811, p. 4 | ||
| 504 | |a Wittenberg, G., Kristan Jr., W.B., (1992) J. Neurophysiol, 68, pp. 1693-1707A4 - DGICYT (MEC); Spanish CICYT | ||
| 520 | 3 | |a We have modeled the neuronai circuit that conveys mechanosensory input onto a pair of serotonergic neurons in the nervous system of the leech. The objective of this work is to use an artificial neural networks (ANN) in the investigation of the interneuronal layer of this circuit, which represents an unknown population of cells. The ANN is a three layer perceptron, whose input units represent the mechanosensory neurons, the output unit represents the serotonergic neurons and the hidden units represent the unknown intemeuronal layer. The connections between input and hidden units were represented as a saturation function rather than as linear one. The weights and thresholds were adjusted using the backpropagation algorithm. The ANN parameters were correlated with specific biological parameters enabling to test and classify the resuIting configurations according to physiological and experimental considerations. We obtained a finite and restricted number of solutions that can be experimentally tested. |l eng | |
| 593 | |a Dpto. de Computación, F.C.E.y N., U.B.A. Ciudad Universitaria, 1428 Bs As, Argentina | ||
| 593 | |a Dpto. de Fisiología, Fac. de Medicina, U.B.A., Paraguay 2155, 1121 Bs As, Argentina | ||
| 690 | 1 | 0 | |a NEURAL NETWORKS |
| 690 | 1 | 0 | |a PHYSIOLOGICAL MODELS |
| 690 | 1 | 0 | |a BIOLOGICAL PARAMETER |
| 690 | 1 | 0 | |a HIDDEN UNITS |
| 690 | 1 | 0 | |a NEURONAL CIRCUITS |
| 690 | 1 | 0 | |a SATURATION FUNCTION |
| 690 | 1 | 0 | |a THREE-LAYER PERCEPTRON |
| 690 | 1 | 0 | |a NEURONS |
| 700 | 1 | |a Lidia, S. | |
| 711 | 2 | |c Lanzarote, Canary Islands |d 4 June 1997 through 6 June 1997 |g Código de la conferencia: 105601 | |
| 773 | 0 | |d Springer Verlag, 1997 |g v. 1240 LNCS |h pp. 207-216 |p Lect. Notes Comput. Sci. |n Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |x 03029743 |w (AR-BaUEN)CENRE-983 |z 3540630473 |z 9783540630470 |t 4th International Work-Conference on Artificial and Natural Neural Networks, IWANN 1997 | |
| 856 | 4 | 1 | |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902129805&partnerID=40&md5=e3c69153afe507219dde8d3c0e090cbe |y Registro en Scopus |
| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_03029743_v1240LNCS_n_p207_Santos |y Handle |
| 856 | 4 | 0 | |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v1240LNCS_n_p207_Santos |y Registro en la Biblioteca Digital |
| 961 | |a paper_03029743_v1240LNCS_n_p207_Santos |b paper |c PE | ||
| 962 | |a info:eu-repo/semantics/article |a info:ar-repo/semantics/artículo |b info:eu-repo/semantics/publishedVersion | ||
| 963 | |a VARI | ||
| 999 | |c 81143 | ||