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Cites About Biological Computing

• - (don't have) Exploring biological neural networks using realistic computer simulations
  • Bower, J.M. (California Inst. of Technol., Pasadena, CA, USA) Source: Naval Research Reviews, v 43, n 4, 1991, p 17-22 ISSN: 0028-145X CODEN: NARRA9
  - (don't have) Exact digital simulation of time-invariant linear systems with applications to neuronal modeling
  • Rotter, S. (Inst. fur Biol. III, Freiburg Univ., Germany); Diesmann, M. Source: Biological Cybernetics, v 81, n 5-6, Nov. 1999, p 381-402 ISSN: 0340-1200 CODEN: BICYAF
  - (have) Behavioral simulation of artificial neural networks: A general approach for digital and analog implementation
  • D'Amore, D. (Dept. of Electron., Politecnico di Milano, Italy); Piuri, V. Source: 1991 IEEE International Symposium on Circuits and Systems (Cat. No.91CH3006-4), 1991, p 1327-30 vol.3

Cites We Have

Neural networks and physical systems with emergent collective computational abilities

• J J Hopfield. The Article

Probabilistic neural networks

• Donald F. Specht. Lockheed Missiles & Space Company, Inc., USA. Received 5 August 1988; accepted 14 June 1989. ; Available online 19 March 2003. Click DOI Bookmark For Article

Entropy-based generation of supervised neural networks for classification of structured pattern

• Tsai, Hsien-Leing (Department of Electrical Engineering, National Sun Yat-Sen University) Source: IEEE Transactions on Neural Networks, v 15, n 2, March, 2004, p 283-297 Database: Compendex Abstract / Links | Detailed Record / Links

Modeling neuron spatial distribution and morphology in the developing human cerebral cortex

• McCormick, B.H. (Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA;); DeVaul, R.W.; Shankle, W.R.; Fallon, J.H. Source: Neurocomputing, v 32-33, June 2000, p 897-904 Database: Inspec

Parallel simulations of neuron growth

• Samuels, D.C. (Dept. of Phys., Emory Univ., Atlanta, GA, USA;); Hentschel, H.G.E.; Fine, A. Source: Computers in Physics, v 10, n 2, March-April 1996, p 129-34 Database: Inspec

Biological and cognitive foundations of intelligent sensor fusion

• Murphy, R.R. (Dept. of Math. & Comput. Sci., Colorado Sch. of Mines, Golden, CO, USA) Source: IEEE Transactions on Systems, Man & Cybernetics, Part A (Systems & Humans), v 26, n 1, Jan. 1996, p 42-51 Database: Inspec

Cites we don't have

Fault diagnosis of power electronic circuits using artificial neural networks

• Su, Pengsheng (Tsinghua Univ); Wang, Zhiqiang; Jiang, Jianguo Source: Qinghua Daxue Xuebao/Journal of Tsinghua University, v 39, n 3, Mar, 1999, p 19-22 Language: Chinese Database: Compendex Abstract / Links | Detailed Record / Links

Learning periodic signals with recurrent neural

• Ruiz, A. (Univ of Exeter); Owens, D.H.; Townley, S. Source: IEE Conference Publication, n 427/2, 1996, p 1131-1136 Database: Compendex Abstract / Links | Detailed Record / Links

Designing radial basis neural networks using a distributed architecture

• Valls, J.M. (Computer Science Department, Carlos III University of Madrid); Leal, A.; Galvan, I.M.; Molina, J.M. Source: Advances in Neural Networks and Applications, Advances in Neural Networks and Applications, 2001, p 177-182 Database: Compendex Abstract / Links | Detailed Record / Links

Modeling the rhythmically active neuron R15 of the mollusc Aplysia using Maple and NAG

• Elliott, C.J.H. (Dept. of Biol., York Univ., UK;); Robinson, J.S. Source: MapleTech, v 4, n 2, 1997, p 6-14 Database: Inspec

Cognitive neurophysiology of the motor cortex.

• Georgopoulos AP, Taira M, Lukashin A. American Legion, Minneapolis, MN