Publications: Difference between revisions

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== 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.
Blanche T  (2006) - Neuroscience abstract
Martinez LM, Wang Q, Reid RC, Pillai C, Alonso JM, Sommer FT, Hirsch
JA (2005) Receptive field structure varies with layer in the primary
visual cortex. Nature Neuroscience 8 (12), 372 - 379.
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? Behavoral 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
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.
Olshausen BA, Field DJ (2005) How close are we to understanding V1?
Neural Computation, 17, 1665-1699.
Sommer FT, Wennekers T (2005) Synfire chains with conductance-based
neurons: internal timing and coordination with timed
input. Neurocomputing 65-66, 449 - 454.
-----
Publications from the Redwood Neuroscience Institute (2002-2005) can be found [http://www.rni.org/pubs.html here].
Publications from the Redwood Neuroscience Institute (2002-2005) can be found [http://www.rni.org/pubs.html here].


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Revision as of 06:25, 22 September 2006

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.

Blanche T (2006) - Neuroscience abstract

Martinez LM, Wang Q, Reid RC, Pillai C, Alonso JM, Sommer FT, Hirsch JA (2005) Receptive field structure varies with layer in the primary visual cortex. Nature Neuroscience 8 (12), 372 - 379.

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? Behavoral 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

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.

Olshausen BA, Field DJ (2005) How close are we to understanding V1? Neural Computation, 17, 1665-1699.

Sommer FT, Wennekers T (2005) Synfire chains with conductance-based neurons: internal timing and coordination with timed input. Neurocomputing 65-66, 449 - 454.



Publications from the Redwood Neuroscience Institute (2002-2005) can be found here.