Publications: Difference between revisions
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Bethge M (2006) Factorial coding of natural images: how effective are | Bethge M (2006) Factorial coding of natural images: how effective are | ||
linear models in removing higher-order dependencies? | linear models in removing higher-order dependencies? | ||
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 | code visual input predicts the diverse shapes of cortical receptive | ||
fields. J. Comp. Neurosci., in press | fields. ''J. Comp. Neurosci.'', in press | ||
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. Neurocomputing 69 | collaborative rank coding and associative memory. ''Neurocomputing'' 69 | ||
(10-12), 1219-1223. | (10-12), 1219-1223. | ||
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? ''Behavioural and Brain Sciences'' 29 | ||
(1) 86-87. | (1) 86-87. | ||
| Line 23: | Line 23: | ||
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. | ||
Johnson JS, Olshausen BA (2005) The recognition of partially visible | Johnson JS, Olshausen BA (2005) The recognition of partially visible | ||
natural objects in the presence and absence of their occluders. | natural objects in the presence and absence of their occluders. | ||
Vision Research, 45, 3262-3276. [http://redwood.berkeley.edu/bruno/papers/VR05-occlusion.pdf pdf] | ''Vision Research'', 45, 3262-3276. [http://redwood.berkeley.edu/bruno/papers/VR05-occlusion.pdf pdf] | ||
Johnson JS, Olshausen BA (2005) The earliest EEG signatures of object | Johnson JS, Olshausen BA (2005) The earliest EEG signatures of object | ||
recognition in a cued-target task are postsensory. Journal of Vision, | recognition in a cued-target task are postsensory. ''Journal of Vision'', | ||
5, 299-312. [http://journalofvision.org/5/4/2/ link] | 5, 299-312. [http://journalofvision.org/5/4/2/ link] | ||
Martinez LM, Wang Q, Reid RC, Pillai C, Alonso J-M, Sommer FT, | Martinez LM, Wang Q, Reid RC, Pillai C, Alonso J-M, Sommer FT, | ||
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 | ||
Olshausen BA, Field DJ (2005) How close are we to understanding V1? | Olshausen BA, Field DJ (2005) How close are we to understanding V1? | ||
Neural Computation, 17, 1665-1699. [http://redwood.berkeley.edu/bruno/papers/V1-article.pdf pdf] | ''Neural Computation'', 17, 1665-1699. [http://redwood.berkeley.edu/bruno/papers/V1-article.pdf pdf] | ||
Sommer FT, Wennekers T (2005) Synfire chains with conductance-based | Sommer FT, Wennekers T (2005) Synfire chains with conductance-based | ||
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. | ||
== 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 | |||
== Talks and Posters == | == 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 | Blanche TJ, Freiwald WA, Swindale NV (2006) Neural sparseness in cat and monkey visual cortex studied with silicon polytrode arrays. ''Society for Neuroscienc''e abstract. | ||
Koepsell K, Wang X, Wei Y, Wang Q, Vaingankar V, Hirsch JA, Sommer FT (2006) | 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 | Two channels for visual information to travel from thalamus to cortex. ''Society for Neuroscienc''e abstract. | ||
Koepsell K, Wang X, Wei Y, Wang Q, Vaingankar V, Hirsch JA, Sommer FT (2005) | 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. | Ongoing retinal activity explains variability of thalamic responses. ''Society for Neuroscience'' talk. | ||
Revision as of 00:05, 5 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., in press
Rehn M, Sommer FT (2006) Storing and restoring visual input with collaborative rank coding and associative memory. Neurocomputing 69 (10-12), 1219-1223.
Sommer FT, Kanerva P (2006) Can neural models of cognition benefit from the advantages of connectionism? Behavioural and Brain Sciences 29 (1) 86-87.
2005
George D, Sommer FT (2005) Computing with inter-spike inverval codes in networks of integrate and fire neurons. Neurocomputing 65-66, 414 - 420.
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
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.
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
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).
