Institute for Adaptive and Neural Computation

2020

Control of prosthetic hands

Nazarpour, K., Krasoulis, A. & Hahne, J., 30 Dec 2020, Contorl of prosthetic hands: Challenges and Emerging Avenues . Nazarpour, K. (ed.). London: IET, p. 1-13 (Healthcare Technologies).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Zuo, S., Nazarpour, K., Gerken, M. & Heidari, H., 30 Dec 2020, Control of Prosthetic Hands: Challenges and emerging avenues. Nazarpour, K. (ed.). London: IET, p. 69-97 27 p. (Healthcare Technologies).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Open Access

The future of myoelectric prosthetics control

Nazarpour, K., 30 Dec 2020, Control of Prosthetic Hands: Challenges and emerging avenues. Nazarpour, K. (ed.). London: IET, p. 205-212 8 p. (Healthcare Technologies; vol. 22).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

User-prosthesis coadaptation

Igual, C., Igual, J., Hahne, J. & Nazarpour, K., 30 Dec 2020, Control of Prosthetic Hands: Challenges and emerging avenues . Nazarpour, K. (ed.). London: IET, p. 159-174 16 p. (Healthcare Technologies).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

2019

Statistical Models of Neural Activity, Criticality, and Zipf’s Law

Sorbaro, M., Herrmann, J. M. & Hennig, M., 24 Jul 2019, The Functional Role of Critical Dynamics in Neural Systems. Springer International Publishing, p. 265-287 (Springer Series on Bio- and Neurosystems; vol. 11).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

2018

Space-by-Time Tensor Decomposition for Single-Trial Analysis of Neural Signals

Delis, I., Onken, A. & Panzeri, S., 21 Mar 2018, Mathematical and Theoretical Neuroscience. Springer, Cham, p. 223-237 (INdAM Series; vol. 24).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

2015

Chapter Six – Genetic Analysis of Drosophila Circadian Behavior in Seminatural Conditions

Green, E. W., O'Callaghan, E. K., Pegoraro, M., Armstrong, J. D., Costa, R. & Kyriacou, C. P., 2015, Circadian Rhythms and Biological Clocks, Part A. Sehgal, A. (ed.). Academic Press, p. 121-133 13 p. (Methods in Enzymology; vol. 559).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

2014

Constructing Complex Systems Via Activity-Driven Unsupervised Hebbian Self-Organization

Bednar, J. A., 5 Jun 2014, Growing Adaptive Machines: Combining Development and Learning in Artificial Neural Networks. Kowaliw, T., Bredeche, N. & Doursat, R. (eds.). Springer Berlin Heidelberg, Vol. 557. p. 201-225 25 p. (Growing Adaptive Machines; vol. 557).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Hebbian Learning of the Statistical and Geometrical Structure of Visual Input

Bednar, J. A., 2014, Neuromathematics of Vision: Lecture Notes in Morphogenesis. Springer Berlin Heidelberg, p. 335-366 Chapter 8. (Neuromathematics of Vision).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Open Access

File

2012

Motor Learning Explored with Myoelectric and Neural Interfaces

Jackson, A. & Nazarpour, K., 31 Dec 2012, Routledge Handbook of Motor Control and Motor Learning. Routledge, p. 80-98

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Reconstructing Models from Proteomics Data

Zografos, L. A., Pocklington, A. & Armstrong, D., 2012, Computational Systems Neurobiology. Le Novère, N. (ed.). Springer Netherlands, Vol. VIII. p. 23-80

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Retinal Waves: Underlying Cellular Mechanisms and Theoretical Considerations.

Sernagor, E. & Hennig, M., 2012, Developmental Neuroscience: A Comprehensive Reference. Rubenstein, J. & Rakic, P. (eds.). Elsevier

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)

2007

An Introduction to Conditional Random Fields for Relational Learning

Sutton, C. & McCallum, A., 2007, Introduction to Statistical Relational Learning. MIT Press, p. 93-128 36 p.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

2006

Comparison of Generative and Discriminative Techniques for Object Detection and Classification

Ulusoy, I. & Bishop, C., 2006, Toward Category-Level Object Recognition. Ponce, J., Hebert, M., Schmid, C. & Zisserman, A. (eds.). Springer Berlin Heidelberg, p. 173-195 23 p. (Lecture Notes in Computer Science; vol. 4170).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

2005

Constructing visual function through prenatal and postnatal learning

Bednar, J. A. & Miikkulainen, R., 2005, Neuroconstructivism, Vol. 2: Perspectives and Prospects. Mareschal, D., Johnson, M. H., Sirois, S., Spratling, M., Thomas, M. S. C. & Westermann, G. (eds.). Oxford University Press, p. 13-37 25 p.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Object Recognition via Local Patch Labelling

Bishop, C. & Ulusoy, I., 2005, Deterministic and Statistical Methods in Machine Learning: First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures. Winkler, J., Niranjan, M. & Lawrence, N. (eds.). Springer Berlin Heidelberg, Vol. 3635. p. 1-21 21 p. (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

2004

Clumps, Clusters and Classification

Bishop, C., 2004, Computer Systems: Theory, Technology, and Applications. Herbert, A. & Jones, K. (eds.). Springer New York, p. 39-49 11 p. (Monographs in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

The Organization and integrative function of the post-synaptic proteome

Grant, S., Husi, H., Choudhary, J., Cumiskey, M., Blackstock, W. & Armstrong, D., 2004, Excitatory-Inhibitory Balance: Synapses, Circuits, Systems. KLUWER ACADEMIC/PLENUM PUBL, p. 13-44 32 p.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)

2003

The Role of Internally Generated Neural Activity in Newborn and Infant Face Preferences

Bednar, J., 2003, The Development of Face Processing in Infancy and Early Childhood: Current Perspectives. Pascalis, O. & Slater, A. (eds.). Nova Science Publishers, p. 133-142

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

1999

Modeling Self-Organization in the Visual Cortex

Miikkulainen, R., Bednar, J., Choe, Y. & Sirosh, J., 1999, Kohonen Maps. Oja, E. & Kaski, S. (eds.). ELSEVIER SCIENCE PUBL B V, p. 243-252

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

1997

Self-Organization, Plasticity, and Low-Level Visual Phenomena in a Laterally Connected Map Model of the Primary Visual Cortex

Miikkulainen, R., Bednar, J. A., Choe, Y. & Sirosh, J., 1997, Perceptual Learning. Goldstone, R. L., Schyns, P. G. & Medin, D. L. (eds.). Academic Press, p. 257-308 52 p. (Psychology of Learning and Motivation).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

1993

Modularity and the processing of closed-class words

Shillcock, R. C. & Bard, E. G., Dec 1993, Cognitive models of speech processing: The Second Sperlonga Meeting. Altmann, G. & Shillcock, R. (eds.). Lawrence Erlbaum Associates, p. 163-185 22 p.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)

Institute for Adaptive and Neural Computation

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