Biomedical Engineering Reference
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grant to the Yale Medical Scientist Training Program and Army
Research Office for NSN.
References
1. Nicolelis, M.A., et al.,
Simultaneous encod-
ing of tactile information by three primate
cortical
14. Narayanan, N.S., E.Y. Kimchi, and M.
Laubach,
Redundancy and synergy of neuronal
ensembles in motor cortex
. J Neurosci, 2005.
25
(17): p. 4207-16.
15. Averbeck, B.B. and D. Lee,
Neural noise
and movement-related codes in the macaque
supplementary motor area
. J Neurosci, 2003.
23
(20): p. 7630-41.
16. Averbeck, B.B., et al.,
Neural activity in
prefrontal cortex during copying geometrical
shapes. II. Decoding shape segments from neural
ensembles
.
areas
.
Nat
Neurosci,
1998.
1
(7):
p. 621-30.
2. Nicolelis, M.A., ed.
Methods In Neuronal
Ensemble Recording
. 1998, CRC Press: Boca
Raton, FL.
3. Wessberg, J., et al.,
Real-time prediction of
hand trajectory by ensembles of cortical neu-
rons in primates
. Nature, 2000.
408
(6810):
p. 361-5.
4. Carmena, J.M., et al.,
Learning to control
a brain-machine interface for reaching and
grasping by primates
. PLoS Biol, 2003.
1
(2):
p. E42.
5. Laubach, M., N.S. Narayanan, and E.Y.
Kimchi,
Single-neuron and ensemble contribu-
tions to decoding simultaneously recorded spike
trains
,in
Neuronal population recordings
,C.
Holscher, Editor. 2007.
6. Shepherd, G.,
Synaptic Organization of The
Brain
. 34d ed. 2003, Oxford: Oxford Univer-
sity Press.
7. Mountcastle, V.B.,
Perceptual Neuroscience:
The Cerebral Cortex
. 1998, Cambridge, MA:
Harvard College.
8. Gochin, P.M., et al.,
Neural ensemble coding
in inferior temporal cortex
. J Neurophysiol,
1994.
71
(6): p. 2325-37.
9. Britten, K.H., et al.,
A relationship between
behavioral choice and the visual responses of neu-
rons in macaque MT
. Vis Neurosci, 1996.
13
(1): p. 87-100.
10. Rolls, E.T., A. Treves, and M.J. Tovee,
The representational capacity of the distributed
encoding of information provided by pop-
ulations of neurons in primate temporal
visual cortex
. Exp Brain Res, 1997.
114
(1):
p. 149-62.
11. Rolls, E.T., et al.,
Information encoding in the
inferior temporal visual cortex: contributions of
the firing rates and the correlations between the
firing of neurons
. Biol Cybern, 2004.
9
0(1):
p. 19-32.
12. Reich, D.S., F. Mechler, and J.D. Victor,
Inde-
pendent and redundant information in nearby
cortical neurons
. Science, 2001.
294
(5551):
p. 2566-8.
13. Zohary, E., M.N. Shadlen, and W.T. New-
some,
Correlated neuronal discharge rate and
its implications for psychophysical performance
.
Nature, 1994.
370
(6485): p. 140-3.
Exp
Brain
Res,
2003.
150
(2):
p. 142-53.
17. Averbeck, B.B. and D. Lee,
Coding and trans-
mission of information by neural ensembles
.
Trends Neurosci, 2004.
27
(4): p. 225-30.
18. Dan, Y., et al.,
Coding of visual informa-
tion by precisely correlated spikes in the lateral
geniculate nucleus
. Nat Neurosci, 1998.
1
(6):
p. 501-7.
19. Vaadia, E., et al.,
Dynamics of neuronal
interactions in monkey cortex in relation to
behavioural events
. Nature, 1995.
3
73(6514):
p. 515-8.
20. Narayanan, N.S., N.K. Horst, and M.
Laubach,
Reversible inactivations of rat medial
prefrontal cortex impair the ability to wait for a
stimulus
. Neuroscience, 2006.
21. Narayanan, N.S. and M. Laubach,
Top-down
control of motor cortex ensembles by dorsome-
dial prefrontal cortex
. Neuron, 2006.
52
(5):
p. 921-31.
22. Laubach, M., M. Shuler, and M.A. Nicolelis,
Independent component analyses for quantify-
ing neuronal ensemble interactions
. J Neurosci
Methods, 1999.
94
(1): p. 141-54.
23. Aertsen, A.M. and G.L. Gerstein,
Evalu-
ation of neuronal connectivity: sensitivity of
cross-correlation
.
Brain
Res,
1985.
340
(2):
p. 341-54.
24. Perkel, D.H., et al.,
Nerve-impulse patterns: A
quantitative display technique for three neurons
.
Brain Res, 1975.
100
(2): p. 271-96.
25. Constantinidis, C., M.N. Franowicz, and P.S.
Goldman-Rakic,
Coding specificity in cortical
microcircuits: A multiple-electrode analysis of
primate prefrontal cortex
. J Neurosci, 2001.
2
1(10): p. 3646-55.
26. Brody, C.D.,
Slow covariations in neuronal
resting potentials can lead to artefactually fast
cross-correlations in their spike trains
. J Neuro-
physiol, 1998.
80
(6): p. 3345-51.