nanosymposium - Society for Neuroscience

8:00 OOO71 413.29 Synchonization within an attentional
network of the human neocortex. J. R. ISLER; J. BESLE; C.
A. SCHEVON; A. D. MEHTA; P. LAKATOS; R. R. GOODMAN;
G. M. MCKHANN; R. G. EMERSON; C. E. SCHROEDER*.
Columbia Univ., Long Island Jewish Med. Ctr., Nathan Kline
Inst. Psychiat Res.
9:00 OOO72 413.30 Topography of history-dependent cortical
processing mapped using iEEG. C. J. HONEY*; T. THESEN;
T. H. DONNER; L. J. SILBERT; C. CARLSON; W. K. DOYLE;
O. DEVINSKY; N. RUBIN; D. J. HEEGER; U. HASSON.
Princeton Univ., New York Univ. Sch. of Med., Univ. of
Amsterdam.
POSTER
414. Neural Network Structure and function: Theory
Theme G: Novel Methods and Technology Development
Mon. 8:00 AM — San Diego Convention Center, Halls B-H
8:00 OOO73 414.1 Rethinking approximations of channel
noise in stochastic Hodgkin-Huxley models. J. H.
GOLDWYN*; M. FAMULARE; N. S. IMENNOV; A. FAIRHALL;
J. T. RUBINSTEIN; E. SHEA-BROWN. Univ. Washington.
9:00 OOO74 414.2 The role of H-current on sub-threshold
activity: A simulation study. F. ARENCIBIA-ALBITE*; C. A.
JIMÉNEZ-RIVERA. Univ. of Puerto Rico.
10:00 PPP1 414.3 The role of calcium-dependent K+ channel
in subthreshold resonance oscillation. T. KITAJIMA*; Z. FENG;
S. KUBOTA. Yamagata Univ.
11:00 PPP2 414.4 Optimal control methods and energy
minimization in neuron models. M. ELLINGER*; M. E.
KOELLING; D. A. MILLER; J. STAHL; F. L. SEVERANCE.
Western Michigan Univ.
8:00 PPP3 414.5 Coincidence detection in neurons with in
vivo-like synaptic activity. C. ROSSANT; R. BRETTE*. Ecole
Normale Supérieure.
9:00 PPP4 414.6 The geometry of phase resetting and
its relationship with the underlying ionic mechanisms. S.
OPRISAN*; A. J. SMITH; R. A. RAIDT. Col. of Charleston.
10:00 PPP5 414.7 Phase reduction of neuronal oscillators
perturbed by Ito process. T. YAMANOBE*. Hokkaido
University, Sch. of Med., PRESTO, Japan Sci. and Technol.
Agency (JST).
11:00 PPP6 414.8 Learning Bayesian priors in a recurrent
network with STDP. A. LAZAR*; G. PIPA; J. TRIESCH. Max-
Planck Inst. For Brain Res., Frankfurt Inst. for Advanced
Studies.
8:00 PPP7 414.9 Biologically plausible homeostasis and
STDP: Stability and learning patterned inputs in spiking
neural networks. M. RICHERT*; J. MOORKANIKARA
NAGESWARAN; N. DUTT; J. KRICHMAR. UCI.
9:00 PPP8 414.10 Emergent local topology (motifs) in a selforganizing
network of model neurons. D. B. STONE*; C. D.
TESCHE. Univ. New Mexico.
10:00 PPP9 414.11 Pair-wise correlation is not sufficient to
model neuronal avalanches. S. YU*; H. YANG; D. PLENZ.
Section On Critical Brain Dynamics, Natl. Inst. of Mental Hlth.,
Univ. of Maryland.
11:00 PPP10 414.12 • From fractal, lego, ascii to neural
network. A. CHOU*. Mobil Res. and Develop. Corp.
8:00 PPP11 414.13 • Neural networks with Hierarchical
temporal memory using Izhikevich type neurons. S. PARK; J.
LEE; D. LEE; T. KO; D. KIM*. KAIST, NIMS.
9:00 PPP12 414.14 A simple framework for complex networks.
D. Q. NYKAMP*; L. ZHAO; T. NETOFF. Univ. Minnesota.
10:00 PPP13 414.15 Perception as Modeling: A neural network
that extracts and models predictable elements of its input. D.
S. SUSSILLO*; L. F. ABBOTT. Columbia Univ.
11:00 PPP14 414.16 Reducing spiking networks to firing rate
models with spiking dynamics. E. S. SCHAFFER*; L. F.
ABBOTT. Columbia Univ.
8:00 PPP15 414.17 Dynamic gating in multi-modular neural
networks using random connections. O. BARAK*; M.
RIGOTTI; S. FUSI. Columbia Univ.
9:00 PPP16 414.18 Dynamical response and
spike correlations in threshold neuron models. T.
TCHUMATCHENKO*; A. MALYSHEV; T. GEISEL; M.
VOLGUSHEV; F. WOLF. Dynamics and Self-Organization,
Bernstein Ctr. for Computat. Neurosci., Göttingen Grad. Sch.
for Neurosciences and Mol. Biosci., Inst. of Higher Nervous
Activity and Neurophysiol., Univ. of Connecticut, Ruhr-
University Bochum.
POSTER
415. fMRI Methods
Theme G: Novel Methods and Technology Development
Mon. 8:00 AM — San Diego Convention Center, Halls B-H
8:00 PPP17 415.1 Pre-surgical language mapping using
resting-state fMRI. Y. TIE*; W. WU; L. RIGOLO; S. SHRIVER;
A. GOLBY. Brigham and Women’s Hosp, Harvard Med. Sch.,
West China Hospital, Sichuan Univ.
9:00 PPP18 415.2 Method for assessing selection bias in
fMRI resting-state functional connectivity. R. T. KUPLICKI;
W. COBERLY; J. BODURKA; W. K. SIMMONS; P. S.
BELLGOWAN*. Univ. of Tulsa, Laureate Inst. For Brain Res.
10:00 PPP19 415.3 Resting state interhemispheric functional
connectivity reflects anatomical connectivity in the split brain.
H. PARK*; J. KIM; B. PARK; J. LEE; H. KIM. Yonsei Univ. Col.
Med., Brain Korea 21 Project for Med. Science, Yonsei Univ.
Col. of Med.
11:00 PPP20 415.4 Memetic optimization of informative brain
regions for multivoxel pattern recognition. M. B. ABERG*; J.
WESSBERG. Malin Björnsdotter (aberg), Univ. of Gothenburg.
8:00 PPP21 415.5 A comparison of methods for the use of
pattern classification on rapid event-related fMRI data. B. O.
TURNER*. Univ. of California, Santa Barbara.
9:00 PPP22 415.6 Tract alignment errors decrease detection
power in group analyses of diffusion data with TBSS. J. M.
TSANG*; R. F. DOUGHERTY; B. A. WANDELL. Stanford
Univ.
10:00 PPP23 415.7 Region-specific characteristics of defaultmode
networks from fMRI data analysis. J. LEE*; D. KIM; J.
KIM; Y. KIM; M. SA. Korea Univ.
11:00 PPP24 415.8 Automated artefact removal in fMRI
time series. N. KOVACEVIC*; M. TASSOPOULOS; A. R.
MCINTOSH. Baycrest Ctr. for Geriatric Care.
8:00 PPP25 415.9 A FSL-based pipeline for fMRI data
preprocessing. L. HUANG*; E. L. PARKS; M. N. BALIKI;
J. A. HASHMI; B. PETRA; A. T. BARIA; A. V. APKARIAN.
Northwestern Univ.
78 | Society for Neuroscience • Indicated a real or perceived conflict of interest, see page 157 for details.
� Indicates a high school or undergraduate student presenter.