call for registration
Boston University - Cognitive and Neural Systems
cns-cas at cns.bu.edu
Tue Mar 24 11:33:53 EST 1998
CALL FOR REGISTRATION
and
MEETING SCHEDULE OF EVENTS
SECOND INTERNATIONAL CONFERENCE ON COGNITIVE AND NEURAL SYSTEMS
May 27-30, 1998
Boston University
677 Beacon Street
Boston, Massachusetts
http://cns-web.bu.edu/cns-meeting/
Sponsored by Boston University's
Center for Adaptive Systems
and
Department of Cognitive and Neural Systems
with financial support from DARPA and ONR
How Does the Brain Control Behavior?
How Can Technology Emulate Biological Intelligence?
The conference will include 125 invited lectures and contributed
lectures and posters by experts from 25 countries on the biology and
technology of how the brain and other intelligent systems adapt to a
changing world. The conference is aimed at researchers and students of
computational neuroscience, connectionist cognitive science,
artificial neural networks, neuromorphic engineering, and artificial
intelligence.
A single oral or poster session enables all presented work to be
highly visible.
Costs are kept at a minimum without compromising the quality of
meeting handouts and social events.
Although Memorial Day falls on Saturday, May 30, it is observed on
Monday, May 25, 1998.
Over 200 people attended last year's meeting, so early registration is
recommended. To register, please fill out the registration form
below. Student registrations must be accompanied by a letter of
verification from a department chairperson or faculty/research
advisor. If paying by check, mail to the address on the form. If
paying by credit card, mail as above, or fax to (617) 353-7755, or
email to cindy at cns.bu.edu.
Registration fees will be returned on request only until April 30, 1998.
*************************
REGISTRATION FORM
Second International Conference on Cognitive and Neural Systems
Department of Cognitive and Neural Systems
Boston University
677 Beacon Street
Boston, Massachusetts 02215
Tutorials: May 27, 1998
Meeting: May 28-30, 1998
FAX: (617) 353-7755
(Please Type or Print)
Mr/Ms/Dr/Prof: _____________________________________________________
Name: ______________________________________________________________
Affiliation: _______________________________________________________
Address: ___________________________________________________________
City, State, Postal Code: __________________________________________
Phone and Fax: _____________________________________________________
Email: _____________________________________________________________
The conference registration fee includes the meeting program,
reception, two coffee breaks each day, and meeting proceedings.
The tutorial registration fee includes tutorial notes and two
coffee breaks.
CHECK ONE:
( ) $70 Conference plus Tutorial (Regular)
( ) $45 Conference plus Tutorial (Student)
( ) $45 Conference Only (Regular)
( ) $30 Conference Only (Student)
( ) $25 Tutorial Only (Regular)
( ) $15 Tutorial Only (Student)
METHOD OF PAYMENT (please fax or mail):
[ ] Enclosed is a check made payable to "Boston University".
Checks must be made payable in US dollars and issued by
a US correspondent bank. Each registrant is responsible
for any and all bank charges.
[ ] I wish to pay my fees by credit card
(MasterCard, Visa, or Discover Card only).
Name as it appears on the card: _____________________________________
Type of card: _______________________________________________________
Account number: _____________________________________________________
Expiration date: ____________________________________________________
Signature: __________________________________________________________
*************************
MEETING SCHEDULE
Wednesday, May 27, 1998 (Tutorials):
7:45am---8:30am MEETING REGISTRATION
8:30am--10:00am Larry Abbott:
"Short-term synaptic plasticity: Mathematical
description and computational function"
10:00am--10:30am COFFEE BREAK
10:30am--12:00pm George Cybenko:
"Understanding Q-learning and other adaptive
learning methods"
12:00pm---1:30pm LUNCH
1:30pm---3:00pm Ennio Mingolla:
"Neural models of biological vision"
3:00pm---3:30pm COFFEE BREAK
3:30pm---5:00pm Alex Pentland:
"Visual recognition of people and their behavior"
Thursday, May 28, 1998 (Invited Talks, Contributed Talks, and Posters):
7:15am---8:00am MEETING REGISTRATION
7:55am---8:00am Stephen Grossberg:
"Welcome and Introduction"
8:00am---8:45am Azriel Rosenfeld:
"Understanding object motion"
8:45am---9:30am Takeo Kanade:
"Computational sensors: Further progress"
9:30am--10:15am Tomaso Poggio:
"Sparse representations for learning"
10:15am--10:45am COFFEE BREAK AND POSTER SESSION I
10:45am--11:30am Gail Carpenter:
"Applications of ART neural networks"
11:30am--12:15pm Rodney Brooks:
"Experiments in developmental models for a
neurally controlled humanoid robot"
12:15pm---1:00pm Lee Feldkamp:
"Recurrent networks: Promise and practice"
1:00pm---2:15pm LUNCH
2:15pm---3:15pm PLENARY TALK:
Stephen Grossberg:
"Adaptive resonance theory: From biology to technology"
3:15pm---3:30pm T.P. Caudell, P. Soliz, S.C. Nemeth, and G.P. Matthews:
"Adaptive resonance theory: Diagnostic environment
for clinical ophthalmology"
3:30pm---3:45pm Nabeel Murshed, Adnan Amin, and Samir Singh:
"Recognition of handwritten Chinese characters with
the fuzzy ARTMAP neural network"
3:45pm---4:00pm Yukinori Suzuki and Junji Maeda:
"ECG wave form recognition with ART 2"
4:00pm---4:15pm Thomas E. Sandidge and Cihan H. Dagli:
"Toward optimal fuzzy associative systems using
interactive self-organizing maps and multi-layer
feed forward principles"
4:15pm---4:30pm Alan Stocker:
"Application of neural computational principles to
compute smooth optical flow"
4:30pm---4:45pm Sorin Draghici and Valeriu Beiu:
"On issues related to VLSI implementations of
neural networks"
4:45pm---5:15pm COFFEE BREAK
4:45pm---7:45pm POSTER SESSION I (see below for details)
Friday, May 29, 1998 (Invited and Contributed Talks):
7:30am---8:00am MEETING REGISTRATION
8:00am---8:45am J. Anthony Movshon:
"Contrast gain control in the visual cortex"
8:45am---9:30am Hugh Wilson:
"Global processes at intermediate levels of
form vision"
9:30am--10:15am Mel Goodale:
"Biological teleassistance: Perception and action
in the human visual system"
10:15am--10:45am COFFEE BREAK
10:45am--11:30am Ken Stevens:
"The categorical representation of speech and its
traces in acoustics and articulation"
11:30am--12:15pm Carol Fowler:
"Production-perception links in speech"
12:15pm---1:00pm Frank Guenther:
"A theoretical framework for speech acquisition
and production"
1:00pm---2:15pm LUNCH
2:15pm---2:30pm S. Oddo, J. Beck, and E. Mingolla:
"Texture segregation in chromatic element-
arrangement patterns"
2:30pm---2:45pm Joseph S. Lappin and Warren D. Craft:
"The spatial structure of visual input explains
perception of local surface shape"
2:45pm---3:00pm Glenn Becker and Peter Bock:
"The ALISA shape module: Adaptive shape classification
using a radial feature token"
3:00pm---3:15pm Sachin Ahuja and Bart Farell:
"Stereo vision in a layered world"
3:15pm---3:30pm A.W. Przybyszewski, W. Foote, and D.A. Pollen:
"Contrast gain of primate LGN neurons is controlled
by feedback from V1"
3:30pm---3:45pm Bertram R. Payne and Stephen G. Lomber:
"It doesn't add up: Non-linear interactions in the
visual cerebral network"
3:45pm---4:00pm Larry Cauller:
"NeuroInteractivism: Dynamical sensory/motor solutions
to exploration inverse problems based upon the functional
architecture of cerebral cortex"
4:00pm---4:30pm COFFEE BREAK
4:30pm---4:45pm Rashmi Sinha, William Heindel, and Leslie Welch:
"Evidence for retinotopy in category learning"
4:45pm---5:00pm Michele Fabre-Thorpe, Ghislaine Richard, and Arnaud Delorme:
"Color is not necessary for rapid categorization of
natural images"
5:00pm---5:15pm Timothy C. Pearce, Todd A. Dickenson, David R. Walt,
and John S. Kauer:
"Exploiting statistics of signals obtained from large
numbers of chemically sensitive polymer beads to
implement hyperacuity in an artificial olfactory system"
5:15pm---5:30pm A. Wichert and G. Palm:
"Hierarchical categorization"
5:30pm---5:45pm Nabil H. Farhat:
"Bifurcation networks: An approach to cortical modeling
and higher-level brain function"
5:45pm---6:00pm Robert Hecht-Nielsen:
"A theory of the cerebral cortex"
6:00pm---8:00pm MEETING RECEPTION
Saturday, May 30 (Invited Talks, Contributed Talks, and Posters):
7:30am---8:00am MEETING REGISTRATION
8:00am---8:45am Howard Eichenbaum:
"The hippocampus and mechanisms of declarative memory"
8:45am---9:30am Earl Miller:
"Neural mechanisms for working memory and cognition"
9:30am--10:15am Bruce McNaughton:
"Neuronal population dynamics and the interpretation
of dreams"
10:15am--10:45am COFFEE BREAK AND POSTER SESSION II
10:45am--11:30am Richard Thompson:
"The cerebellar circuitry essential for classical
conditioning of discrete behavioral responses"
11:30am--12:15pm Daniel Bullock:
"Cortical control of arm movements"
12:15pm---1:00pm Andrew Barto:
"Reinforcement learning applied to large-scale
dynamic optimization"
1:00pm---2:15pm LUNCH
2:15pm---3:15pm PLENARY TALK:
Ken Nakayama:
"Psychological studies of visual attention"
3:15pm---3:30pm Emery N. Brown, Loren M. Frank, Dengda Tang,
Michael C. Quirk, and Matthew A. Wilson:
"A statistical model of spatial information encoding
in the rat hippocampus"
3:30pm---3:45pm Michael Herrmann, Klaus Pawelzik, and Theo Geisel:
"Self-localization of a robot by simultaneous
self-organization of place and direction selectivity"
3:45pm---4:00pm Stefan Schaal and Dagmar Sternad:
"Segmentation of endpoint trajectories does not imply
segmented control"
4:00pm---4:15pm Stefan Schaal and Dagmar Sternad:
"Nonlinear dynamics as a coherent framework for
discrete and rhythmic movement primitives"
4:15pm---4:30pm Andrew L. Kun and W. Thomas Miller:
"Unified walking control for a biped robot using
neural networks"
4:30pm---4:45pm J.L. Buessler and J.P. Urban:
"Global training of modular neural architectures
in robotics"
4:45pm---5:15pm COFFEE BREAK
4:45pm---7:45pm POSTER SESSION II (see below for details)
POSTER SESSION I: Thursday, May 28, 1998
All posters will be displayed for the full day.
Cognition, Learning, Recognition (B):
#1 A. Tijsseling, M. Casey, and S. Harnad:
"Categories as attractors"
#2 Vinoth Jagaroo:
"Allocentric spatial processing and some of their
cortical neural nodes: A neuropsychological investigation"
#3 M.J. Denham and S.L. McCabe:
"A dynamic learning rule for synaptic modification"
#4 M.J. Denham and S.L. McCabe:
"A computational model of predictive learning in hippocampal
CA3 principal cells of the rat during spatial activity"
#5 Nina Emilia Poriet Ramirez and Andreu Catala Mallofre:
"Qualitative approximation of neural cognitive maps"
#6 Gary C.-W. Shyi:
"Computing representations for bound and unbound 3D
object matching"
#7 Ghislaine Richard, Michele Fabre-Thorpe, and Arnaud Delorme:
"On the similarity between fast visual categorization of
natural images in monkeys and humans"
#8 Robert Proulx and Sylvain Chartier:
"Reproduction of the list-length and the list-strength effect
in unsupervised neural networks"
#9 Jean-Claude Dreher and Emmanuel Guigon:
"A model of dopamine modulation on sustained activities
in prefrontal cortex"
#10 Oury Monchi and John G. Taylor:
"Neural modeling of the anatomical areas involved in
working memory tasks"
Cognition, Learning, Recognition (T):
#11 Christophe Lecerf:
"The double loop learning model"
#12 V. Petridis and Ath. Kehagias:
"A general convergence result for data allocation in
online unsupervised learning methods"
#13 C.S. Liu and C.H. Tseng:
"Hierarchical decomposition training algorithm for
multilayer Perceptron networks"
#14 Antonio Ballarin and Simona Gervasi:
"Political surveys and scenario simulations"
#15 Regis Quelavoine and Pascal Nocera:
"Transients classification, learning with expert interaction"
#16 John R. Alexander Jr.:
"How technology CAN emulate biological intelligence:
Begin at the beginning - a speculation"
#17 Maria P. Alvarez:
"A supervised learning algorithm for feedforward networks
with inhibitory lateral connections"
#18 Mark A. Rubin, Michael A. Cohen, Joanne S. Luciano, and
Jacqueline A. Samson:
"Can we predict the outcome of treatment for depression?"
#19 Irak Vicarte Mayer and Haruhisa Takahashi:
"Object matching by principal component analysis"
#20 Jun Saiki:
"A neural network model for computation of object-based
spatial relations"
#21 Harald Ruda and Magnus Snorrason:
"An algorithm for the construction of a hierarchical classifier
using single trial learning and self-organizing neural networks"
#22 Gail A. Carpenter and William W. Streilein:
"Fuzzy ARTMAP neural networks for data fusion and sonar
classification"
#23 William W. Streilein and Paolo Gaudiano:
"Autonomous robotics: Object identification and classification
through sonar"
#24 Nabeel Murshed, Ana Cristina de Carvalho, Regiane Aires, and
Sergio Ossamu Ioshii:
"Detection of carcinoma with the fuzzy ARTMAP NN"
#25 Gail A. Carpenter, Sucharita Gopal, Scott Macomber, Siegfried
Martens, and Curtis E. Woodcock:
"Mapping vegetation ground cover with fuzzy ARTMAP"
#26 Siegfried Martens and Paolo Gaudiano:
"Mobile robot sensor fusion with an ARTMAP neural network"
#27 Tayeb Nedjari and Younes Bennani:
"Symbolic-connectionist interaction"
#28 Eduardo da Fonesca Melo and Edson Costa de Barros Carvalho Filho:
"An autonomous multi feature selective attention neural
network model"
#29 Wonil Kim, Kishan Mehrotra, and Chilukuri K. Mohan:
"Learning collages: An adaptive multi-module approximation network"
#30 Christine Lisetti:
"Connectionist modeling of emotional arousal along the
autonomic nervous system"
Neural System Models (B):
#31 Roger A. Drake:
"Redundant behavioral measures of activation:
Leftward visual inattention"
#32 Michael Lamport Commons:
"Can neural nets be conscious and have a sense of free will?"
#33 Fabio R. Melfi and Andre C.P. Carvalho:
"Human performance in maze navigation problems"
#34 K. Gurney, A. Prescott, and P. Redgrave:
"A model of intrinsic processing in the basal ganglia"
Neural System Models (T):
#35 (presentation withdrawn by the authors)
#36 Robert Alan Brown:
"Machine bonding"
#37 Kit S. Choy and Peter D. Scott:
"Reinforcement learning enhanced by learning from
exemplary behaviors"
#38 Andras Peter:
"A neural network for self-adaptive classification"
POSTER SESSION II: Saturday, May 30, 1998
All posters will be displayed for the full day.
Vision (B):
#1 Magnus Snorrason, Harald Ruda, and James Hoffman:
"Visual search patterns in photo-realistic imagery"
#2 Drazen Domijan:
"New mechanism for luminance channel in the network
model of brightness perception"
#3 Colin W.G. Clifford and Michael R. Ibbotson:
"Adaptive encoding of visual motion: Modelling the response
properties of directional neurons in the accessory optic system"
#4 J.R. Williamson and S. Grossberg:
"How cortical development leads to perceptual grouping"
#5 Stephen G. Lomber and Bertram R. Payne:
"Behavioral dissociations in visual cortex: A
multi-dimensional view of the cerebrum"
Audition, Speech, Language (B + T):
#6 Robert A. Baxter and Thomas F. Quatieri:
"AM-FM estimation by shunting neural networks"
#7 Lars Koop and Holger U. Prante:
"Classification of artificial and natural sounds with
stationary and temporal self-organized feature maps"
#8 S.L. McCabe:
"Synaptic depression and temporal order identification"
#9 Fatima T. Husain and Frank H. Guenther:
"Experimental tests of neural models of the perceptual
magnet effect"
#10 Jerome Braun and Haim Levkowitz:
"Perceptually guided training in recurrent neural networks
based automatic language identification"
#11 Shinji Karasawa, Ken-ichi Suzuki, and Jun-ichii Oomori:
"The artificial intelligence organized by decoders for
language processing"
Spatial Mapping and Navigation (B):
#12 Herve Frezza-Buet and Frederic Alexandre:
"A model of cortical activation for robot navigation"
#13 William Gnadt and Stephen Grossberg:
"A self-organizing neural network model of spatial
navigation and planning"
Control and Robotics (T):
#14 Jesse Reichler and Clay Holroyd:
"An architecture for autonomous control and planning in
uncertain domains"
#15 Fernando J. Corbacho:
"Biologically inspired design principles for autonomous agents"
#16 Erol Sahin, Paolo Gaudiano, and Robert Wagner:
"A comparison of visual looming and sonar as mobile robot
range sensors"
#17 J.J. Collins and Malachy Eaton:
"Situated pursuit and evasion using temporal difference learning"
#18 Kent Thompson and Wayne Lu:
"The big eyeballs project"
#19 Stevo Bozinovski, Georgi Stojanov, and Liljana Bozinovska:
"Learning sparse environments using emotionally reinforced
neural network"
#20 Catalin V. Buhusi and Nestor A. Schmajuk:
"Stimulus selection mechanisms: Implications for
artificial life systems"
VLSI (T):
#21 Richard Izak and Thomas Zahn:
"Modeling auditory pathway: A neuromorphic VLSI system with
integrate and fire neurons and on-chip learning synapses"
#22 Todd Hinck and Allyn E. Hubbard:
"Combining featural and boundary information to create a
surface representation: A hardware paradigm"
#23 Christian Karl and Allyn E. Hubbard:
"Pipelined asynchronous communication between large arrays"
#24 Catherine Collin and Susanne Still:
"Towards a neuronally-controlled walking machine"
#25 Radu Dogaru and Leon O. Chua:
"Emergent computation in cellular neural networks with
FitzHugh-Nagumo cells: A novel approach based on the local
activity theory"
Hybrid Systems and Industrial Applications (T):
#26 Geoffrey N. Hone and Richard Scaife:
"The SME Machine: A non-learning network implemented in a
commercial spreadsheet delivers Subject Matter Expert judgments"
#27 A. Bernatzki, W. Eppler, and H. Gemmeke:
"Neural network debugger (NNDB) using local principal
component analysis (LPCA) for high-dimensional input data"
#28 Peter Sincak, Norbert Kopco, Rudolf Jaksa, and Marek Bundzel:
"Computational intelligence tools for environmental applications"
#29 Leo Chau-Kuang Liau and Robert W. McLaren:
"The application of a neural net to parameter optimization
of a continuous stirred tank reactor"
#30 Brian M. O'Rourke:
"Advanced time series modeling with neural networks"
Neural System Models (B):
#31 Clay Holroyd, Jesse Reichler, and Michael G.H. Coles:
"Generation of error-related scalp potentials by a mesencephalic
dopamine system for error processing"
#32 Christian W. Eurich, Klaus Pawelzik, and John G. Milton:
"Encoding temporal patterns by delay adaptation in networks
of spiking neurons"
#33 J.F. Gomez, F.J. Lopera, E. Marin, D. Pineda, and A. Rios:
"A computer model using neuroimaging of a cyclic cortical wave
for brain development, adult-brain-steady-state, and cerebral
degeneration"
Neural System Models (T):
#34 M. Sreenivasa Rao and Arun K. Pujari:
"A new neural network architecture with associative memory,
pruning and order-sensitive learning"
#35 L.M. Gelman and N.I. Bouraou:
"Adaptive method for object recognition"
#36 Alexandra I. Cristea and Toshio Okamoto:
"Deduction of an L-based energy function for SE prediction"
#37 Wei Cao and James Burghart:
"Pattern-up-mapping method and fractional convergence"
#38 Norbert Jankowski:
"Controlling the structure of neural networks that grow
and shrink"
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