Publications: Difference between revisions
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''J. Opt. Soc. Am.'' A, 23(6): 1253-1268. | ''J. Opt. Soc. Am.'' A, 23(6): 1253-1268. | ||
Rehn M, Sommer FT (2006) A network that uses few active neurones to | Rehn M, Sommer FT (2006) A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields. J. Comp. Neurosci. | ||
code visual input predicts the diverse shapes of cortical receptive | [http://dx.doi.org/10.1007/s10827-006-0003-9 SpringerLink DOI 10.1007/s10827-006-003-9] | ||
fields. | [http://redwood.berkeley.edu/~fsommer/papers/rehnsommer06pre-jcn.pdf pdf] | ||
Rehn M, Sommer FT (2006) Storing and restoring visual input with | Rehn M, Sommer FT (2006) Storing and restoring visual input with collaborative rank coding and associative memory. | ||
collaborative rank coding and associative memory. | Neurocomputing 69 (10-12) 1219-1223 [http://redwood.berkeley.edu/~fsommer/papers/rehnsommer06neurocomp.pdf pdf] | ||
(10-12) | |||
Sommer FT, Kanerva P (2006) Can neural models of cognition benefit | Sommer FT, Kanerva P (2006) Can neural models of cognition benefit from the advantages of connectionism? | ||
from the advantages of connectionism? | Behavoral and Brain Sciences 29 (1) 86-87 [http://redwood.berkeley.edu/~fsommer/papers/sommerkanerva05.pdf pdf] | ||
(1) 86-87. | |||
'''2005''' | '''2005''' | ||
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George D, Sommer FT (2005) Computing with inter-spike inverval codes | George D, Sommer FT (2005) Computing with inter-spike inverval codes | ||
in networks of integrate and fire neurons. ''Neurocomputing'' 65-66, 414 - | in networks of integrate and fire neurons. ''Neurocomputing'' 65-66, 414 - | ||
420. | 420. [http://redwood.berkeley.edu/~fsommer/papers/georgesommer05.pdf pdf] | ||
Johnson JS, Olshausen BA (2005) The recognition of partially visible | Johnson JS, Olshausen BA (2005) The recognition of partially visible | ||
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Hirsch JA (2005) Receptive field structure varies with layer in the | Hirsch JA (2005) Receptive field structure varies with layer in the | ||
primary visual cortex. ''Nature Neuroscience'' 8 , 372 - 379 | primary visual cortex. ''Nature Neuroscience'' 8 , 372 - 379 | ||
[http://redwood.berkeley.edu/~fsommer/papers/martinezetal05.pdf pdf] | |||
Olshausen BA, Field DJ (2005) How close are we to understanding V1? | Olshausen BA, Field DJ (2005) How close are we to understanding V1? | ||
| Line 44: | Line 44: | ||
neurons: internal timing and coordination with timed | neurons: internal timing and coordination with timed | ||
input. ''Neurocomputing'' 65-66, 449 - 454. | input. ''Neurocomputing'' 65-66, 449 - 454. | ||
[http://redwood.berkeley.edu/~fsommer/papers/sommerwennekers05.pdf pdf] | |||
== Refereed Conference Proceedings == | == Refereed Conference Proceedings == | ||
Revision as of 17:24, 26 October 2006
Journal Papers
2006
Bethge M (2006) Factorial coding of natural images: how effective are linear models in removing higher-order dependencies? J. Opt. Soc. Am. A, 23(6): 1253-1268.
Rehn M, Sommer FT (2006) A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields. J. Comp. Neurosci. SpringerLink DOI 10.1007/s10827-006-003-9 pdf
Rehn M, Sommer FT (2006) Storing and restoring visual input with collaborative rank coding and associative memory. Neurocomputing 69 (10-12) 1219-1223 pdf
Sommer FT, Kanerva P (2006) Can neural models of cognition benefit from the advantages of connectionism? Behavoral and Brain Sciences 29 (1) 86-87 pdf
2005
George D, Sommer FT (2005) Computing with inter-spike inverval codes in networks of integrate and fire neurons. Neurocomputing 65-66, 414 - 420. pdf
Johnson JS, Olshausen BA (2005) The recognition of partially visible natural objects in the presence and absence of their occluders. Vision Research, 45, 3262-3276. pdf
Johnson JS, Olshausen BA (2005) The earliest EEG signatures of object recognition in a cued-target task are postsensory. Journal of Vision, 5, 299-312. link
Martinez LM, Wang Q, Reid RC, Pillai C, Alonso J-M, Sommer FT, Hirsch JA (2005) Receptive field structure varies with layer in the primary visual cortex. Nature Neuroscience 8 , 372 - 379 pdf
Olshausen BA, Field DJ (2005) How close are we to understanding V1? Neural Computation, 17, 1665-1699. pdf
Sommer FT, Wennekers T (2005) Synfire chains with conductance-based neurons: internal timing and coordination with timed input. Neurocomputing 65-66, 449 - 454. pdf
Refereed Conference Proceedings
Bell A.J., Parra L.C. (2005) Maximising Sensitivity in a Spiking Network, Advances in Neural Information Processing Systems 17, Saul L.K. and Weiss Y. and Bottou L., MIT Press, Cambridge, MA pdf
Talks and Posters
Blanche TJ, Freiwald WA, Swindale NV (2006) Neural sparseness in cat and monkey visual cortex studied with silicon polytrode arrays. Society for Neuroscience abstract.
Koepsell K, Wang X, Wei Y, Wang Q, Vaingankar V, Hirsch JA, Sommer FT (2006) Two channels for visual information to travel from thalamus to cortex. Society for Neuroscience abstract.
Koepsell K, Wang X, Wei Y, Wang Q, Vaingankar V, Hirsch JA, Sommer FT (2005) Ongoing retinal activity explains variability of thalamic responses. Society for Neuroscience talk.
Redwood Neuroscience Institute
An incomplete list of publications from the Redwood Neuroscience Institute (2002-2005) is available here (will be updated soon).
