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Are Artificial Dendrites Useful in Neuro-Evolution?

• Authors : Bull L; University of the West of England, Computer Science Research Centre. .

Subjects: Dendrites*/Dendrites*/Dendrites*/physiology ; Neurons*/Neurons*/Neurons*/physiology

• Source: Artificial life [Artif Life] 2021 Nov 02; Vol. 27 (2), pp. 75-79.Publisher: MIT Press Country of Publication: United States NLM ID: 9433814 Publication Model: Print Cited Medium:

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Dendrites Enable a Robust Mechanism for Neuronal Stimulus Selectivity.

• Authors : Cazé, Romain D.¹ ; Jarvis, Sarah¹ ; Foust, Amanda J.¹

• Source: Neural Computation. Sep2017, Vol. 29 Issue 9, p2511-2527. 17p. 1 Chart, 6 Graphs.

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A Compartmental Model of Linear Resonance and Signal Transfer in Dendrites.

• Authors : Schoen, Alan¹ ; Salehiomran, Ali² ; Larkum, Matthew E.³

• Source: Neural Computation. Dec2012, Vol. 24 Issue 12, p3126-3144. 19p.

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Multilayer Processing of Spatiotemporal Spike Patterns in a Neuron with Active Dendrites.

• Authors : Yingxue Wang¹ ; Shih-Chii Liu¹

• Source: Neural Computation. Aug2010, Vol. 22 Issue 8, p2086-2112. 27p. 2 Diagrams, 3 Charts, 10 Graphs.

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A Probabilistic Framework for Region-Specific Remodeling of Dendrites in Three-Dimensional Neuronal Reconstructions.

• Authors : Narayanan, Rishikesh¹ ; Narayan, Anusha¹ ; Chattarji, Sumantra¹

• Source: Neural Computation. Jan2005, Vol. 17 Issue 1, p75-96. 22p.

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Hardware-Amenable Structural Learning for Spike-Based Pattern Classification Using a Simple Model of Active Dendrites.

• Authors : Hussain, Shaista¹; Shih-Chii Liu²; Basu, Arindam²

• Source: Neural Computation. 2015, Vol. 27 Issue 4, p845-897. 53p. 4 Diagrams, 5 Charts, 19 Graphs.

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Asymptotic Input-Output Relationship Predicts Electric Field Effect on Sublinear Dendritic Integration of AMPA Synapses.

• Authors : Fan Y; Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin 3000072, China .; Wei X

Subjects: Dendrites* ; Synapses*; Action Potentials

• Source: Neural computation [Neural Comput] 2021 Oct 12; Vol. 33 (11), pp. 3102-3138.Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print Cited Medium:

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Multibranch Formal Neuron: An Internally Nonlinear Learning Unit.

• Authors : Güler M; Department of Computer Engineering, Eastern Mediterranean University, 99628 Famagusta North Cyprus, via Mersin 10, Turkey .

Subjects: Dendrites* ; Models, Neurological*; Action Potentials

• Source: Neural computation [Neural Comput] 2021 Sep 16; Vol. 33 (10), pp. 2736-2761.Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print Cited Medium:

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Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree?

• Authors : Jones IS; Department of Neuroscience, University of Pennsylvania, Philadelphia, PA 19104, U.S.A. .; Kording KP

Subjects: Dendrites* ; Models, Neurological*; Machine Learning

• Source: Neural computation [Neural Comput] 2021 May 13; Vol. 33 (6), pp. 1554-1571.Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print Cited Medium:

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Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks.

• Authors : Stöckel A; Centre for Theoretical Neuroscience, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada .; Eliasmith C

Subjects: Action Potentials*/Action Potentials*/Action Potentials*/physiology ; Dendrites*/Dendrites*/Dendrites*/physiology ; Models, Neurological*

• Source: Neural computation [Neural Comput] 2021 Jan; Vol. 33 (1), pp. 96-128. Date of Electronic Publication: 2020 Oct 20.Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print-Electronic Cited Medium:

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