Mark van Rossum 's Webpage
|
|

Lecturer at the School of
Informatics,
University of Edinburgh
Institute for Adaptive and Neural
Computation
Contact me: mvanross
<at> inf.ed.ac.uk
Public PGP key
phone: 44-131-6511211
Room 2.52, 10 Crichton Street,
Edinburgh EH8 9AB
Map and directions
|
News
|
Research Summary
My research area is computational neuroscience. I use
computational and mathematical techniques to understand the working
of the brain. I hope that, like in physics, it will be
possible to find simple underlying principles of the brain's
functioning.
My particular interests are:
-
Synaptic plasticity:
[ref.
15,17,20,24]. Synaptic plasticity is thought to underly memory
formation in the nervous system. I'm researching the computational
consequences of realistic, spike timing dependent plasticity rules.
In particular, the stability of memory and homeostasis [13,18] have
my current interest.
One particular project is about synaptic tagging and capture.
-
Noise in neural
systems:
The nervous system has extrinsic and intrinsic noise sources.
From an engineering point of view this leads to the question, how
does the nervous system deal with this noise. It turns out that the
noise might be beneficial in some cases. More precisely, noise
prevent synchronization (which reduces information content) and
allows for fast and accurate propagation of signals
[ref.16,19,22,26]
-
The early visual system: The COLAMN project
is a major UK project that tries to create a full computer model of
primary visual cortex using detailed information about its anatomy and
physiology, leading us towards the principles of neural computation and
ultra efficient hardware implementations.
The retina: Together with Rob
Smith, I made a model of the rod-rodbipolar synapse [ref. 12]. This
is the first synapse in the visual pathway and is important at very
low light levels. In order to preserve signal quality, a special
thresholding is required at this synapse. Some very good data on
this system were recently measured. Together with Paul Clark I have
extended the theory [ref 23]. We have also created a very realistic
model of a ganglion cell with takes all known noise sources
explicitly into account [21].
Former labs:
|
Teaching
|
Postdocs
We
have currently an opening for a postdoc.
Self-funded possiblities:
- Many funding councils (MRC, EPSRC) have options for fellowships,
in particular for people wanting to shift careers.
- Also check this interdisplinary fellowship from HFSP
|
|
Students
Students looking for a PhD
position
are best served by our own Doctoral Training
Centre (DTC).
The Independent has a article
on Doctoral Training Centres:
article
Unfortunately, only UK (and a few
EU) students can be fully paid through this; EU students can
receive part funding; non-UK/non-EU will have to provide their own
funding.
We are mainly looking for people with
an excellent background in physics, mathematics, or computer
science.
Here is a brief FAQ about
switching to neural computation from physics or math (based on own
experiences).
Please check the follow links for
general policies and funding: Informatics
, ANC.
List of possible
projects (local access only)
|
Group
Post-docs
Judith Law works on contextual
interaction and synaptic depression.
Matthias Hennig works on synaptic tagging models.
Phd-Students (in our program all students have 2
supervisors)
Steve Huang works on head
direction cells (supervision with Emma
Wood).
Lawrence York works on contrast dependent latencies (supervision with
Mike Oram).
Cian O'Donnell works on stochastic ion channels (supervision with Matt
Nolan).
MSc students/ UG students / visitors
Maia Janowitz (MSc, summer 2003)
has worked on models of the role of excitability changes for
learning (paper 24).
Paul Clark (UG 2004) has
worked on information transmission in the retina (paper
23)
Hinnerk Feldwisch (summer 2004) has worked
on a novel noise analysis method (paper under
construnction).
Hannes Wiesner (MSc, summer
2005) worked on noise in retinal ganglion cells.
Lars Feuerbach (summer 05) worked on STDP models.
Georg Zeissner and Parnil Mhatre (MSc, summer 06) worked on contextual
interaction in V1, and retinal noise, respectively.
Anna Lewis (summer 06) worked on STDP models.
Former members
Matthijs van der
Meer (PhD 2007) worked on
the
head-direction system in rats (supervision with Emma
Wood); now postdoc with Dave Redish at the University of Minnesota.
Andrea
Greve (PhD 2008) worked on ERPs and
models related to memory and familiarity (supervision with David
Donaldson); now research fellow at Wales Institute of Cognitive
Neuroscience in Cardiff.
Guy
Billings (PhD 2008) worked on STDP and stability; now works on cerebellum
with Angus Silver at UCL.
Tim O'Leary (PhD 2009) worked on homeostasis
(supervision with David Wyllie).
Adam Barrett (postdoc 2007-2008) now in Sussex
Jesus Cortes (postdoc
2005-2008) Now Ramon-y-Cahal fellow in Granada
|
Publications:
Regular
articles
-
36. L.C. York and MvR, Recurrent networks with
short term synaptic depression
Journal Computational Neuroscience 27, 607 (2009)
- 35. P. Nezis and MvR, Multiplication with noisy
spiking neurons (preprint)
-
34. A. Greve, D.I.
Donaldson,
MvR, A single-trace dual-process
model of episodic memory: a novel computational account of familiarity
and recollection
(in press Hippocampus)
-
33. A.B. Barrett, G.O
Billings, R.G.M.
Morris, and MvR, Biophysical Model
of Long-Term Potentiation and Synaptic Tagging and Capture, PLOS
Comp
Biol 5, e1000259 (2009)
- 32. G.O.
Billings and MvR, Memory retention
and Spike
Timing Dependent Plasticity, J. Neurophysiology 101, 2775-2788
(2009). Note
-
31. A. Greve, D. Sterratt,
D.J. Willshaw, D.
I. Donaldson, MvR, Optimal learning
rules for familiarity detection,
Biological Cybernetics 100, 11 (2009)
-
30. A.B. Barrett and
MvR, Shannon information
capacity of discrete synapses, PLOS Comp Biol. 4,
e1000230 (2008)
-
29. J.M. Cortes, A.
Greve, A.B. Barrett and MvR Dynamics
and robustness of familiarity
memory (in press Neural Computation)
-
28. MvR, M.A.A. van der
Meer, D. Xiao, and M. W. Oram Contrast
dependent latencies and adaptive
integration in the visual cortex
by depressing recurrent cortical connections, Neural
Computation
20,
1847-1872, (2008)
-
27. M.A.A. van der
Meer, J. J. Knierim, D. Yoganarasimha, E. R.
Wood, MvR, Anticipation in the
rodent head direction cell system can
be explained by an interaction of head movements and vestibular
firing properties, Journal of Neurophysiology 98, 1883-1897
(2007)
-
26. Timothy M.
Hospedales, MvR, Bruce P. Graham, and Mayank B. Dutia. Implications of
noise and neural heterogeneity for vestibulo-ocular reflex fidelity,
Neural Computation 20, 756-778 (2008).
-
25. A. Greve, MvR, D.
I. Donaldson, Semantic and episodic
memory systems interact through
familiarity not recollection: Convergent behavioural and
electro-physiological evidence, NeuroImage 34, 801-814 (2007)
-
24. M. K. Janowitz and
MvR, Excitability changes that
complement
Hebbian learning, Network:Computation in Neural Systems 17,31-41
(2006), Note
-
23. P. Clark and MvR, The
optimal synapse for sparse, binary signals in the rod pathway,
Neural Computation 18, 26-44 (2006)
-
22. MvR and A. Renart, Computation with population
codes in layered networks of
integrate-and-fire neurons (CNS 2003, Alicante) Neurocomputing
58-60 265-270 (2004)
-
21. MvR, B.J.
O'Brien,
and R.G. Smith, Effects of noise on
the spike timing precision of
retinal ganglion cells. Journal of Neurophysiology 89,
2406-2419
(2003)
-
20. A. Kepecs, MvR, S.
Song,
and J. Tegner, Spike timing
dependent plasticity: common themes and
divergent vistas, Biological Cybernetics 87, 446-458
(2002).
-
19. MvR, G.G. Turrigiano,
and
S.B. Nelson, Fast propagation of
firing rates through layered
networks of neurons, Journal of Neuroscience 22, 1956-1966
(2002) Note
-
18. V. Kilman, MvR and G.G.
Turrigiano, Activity deprivation
reduces mIPSC amplitude by
decreasing the number of postsynaptic GABAa receptors clustered at
neocortical synapses,Journal of Neuroscience 22, 1328-1337
(2002).
-
17. MvR and G.G.
Turrigiano Correlation based
learning
from spike timing dependent plasticity,
NeuroComputing 38-40, 409-415 (2001).
-
16. MvR Transient
precision of
integrate and fire neurons; effect of background activity and
noise, Journal of Computational Neuroscience 10, 303-310
(2001).Note
-
15. MvR, G.-q. Bi, and
G.G.
Turrigiano, Stable Hebbian learning
from spike time dependent
plasticity, Journal of Neuroscience 20, 8812-8821
(2000). Note
-
14. MvR, A novel
spike
distance, Neural Computation 13, 751-763 (2001)
-
13. A.J. Watt, MvR, K.M.
MacLeod, S.B. Nelson, and G.G. Turrigiano, Activity co-regulates
quantal AMPA and NMDA current at neocortical synapses, Neuron
23,
659-670 (2000)
-
12. MvR and R.G. Smith, Noise
removal
at the rod synapse of mammalian retina, Visual Neuroscience 15,
809-821 (1998)
-
11. MvR and Th.M.
Nieuwenhuizen,
Multiple scattering of classical waves: microscopy, mesoscopy and
diffusion, Rev.Mod.Phys. 71,313-371 (1999)
-
10. MvR, A
new
test of legibility, Quaerendo (Amsterdam) 27, 141-147
(1997)
(NOT THE ORIGINAL PAPER, BUT A MODIFIED
REPORT)
-
9. MvR, I.V. Lerner, B.L.
Altshuler, Th.M. Nieuwenhuizen, Deviations
from the Gaussian
distribution of mesoscopic conductance fluctuations, Phys.Rev.B
55,
4710-4716 (1997)
-
8. MvR, J.F. de Boer and
Th.M.
Nieuwenhuizen, Third cumulant of the
total transmission of diffuse
waves, Phys.Rev.E 52, 2053-2065, (1995)
-
7. MvR, Th.M. Nieuwenhuizen
and R.
Vlaming, Optical conductance
fluctuations: diagrammatic analysis
and non-universal effects, Phys.Rev.E 51 6158-6176,(1995)
-
6. Th.M. Nieuwenhuizen and
MvR, Intensity distribution of
waves transmitted through a multiple
scattering medium, Phys.Rev.Lett.74, 2674-2678,(1995)
-
5. J.F. de Boer, MvR, M.P.
van
Albada, Th.M. Nieuwenhuizen and A. Lagendijk, Probability
distribution of multiple scattered light measured in total
transmission, Phys.Rev.Lett.73, 2567-2571, (1994)
-
4. MvR, Th.M.
Nieuwenhuizen, E.
Hofstetter and M. Schreiber, Density
of states of disordered
systems, Phys. Rev.B 49, 13377-13382,(1994)
-
3. Th.M. Nieuwenhuizen and
MvR, Role of a single scatterer
in a
multiple scattering medium, Phys. Lett.A 177, 102-106, (1993)
-
2. MvR and Th.M.
Nieuwenhuizen, Influence of skin
layers
on
speckle correlations of light transmitted through disordered media,
Phys.Lett.A 177, 452-458, (1993)
-
1. Th.M.
Nieuwenhuizen and
MvR, Universal fluctuations in a
simple disordered system, Phys. Lett.A
160, 461-464, (1991)
Other
publications
- A Roth and MvR, Modeling
Synapses. Chapter
- N Brunel and MvR, Lapicque’s 1907
paper: from frogs to integrate-and-fire, Biological Cybernetics (2007
and translation of Lapicque 1907
- MvR and R.G. Smith, Noise removal by nonlinear
synapses, Computational Neuroscience: Trends in research
1998.J. Bower ed., 297-303
(1998) (conference
proceedings),
- MvR Measuring font
legibility (unpublished
manuscript)
- MvR, Mesoscopische verschijnselen in veelvoudige
lichtverstrooiing, J. Dutch Phys. Soc. 18, 307-311 (1995). Prize
winning article in contest to popularize
physics
- MvR, Mesoscopic phenomena in multiple light
scattering,
PhD thesis, 132 pp. (1995)
- P.N. den Outer, MvR, Th.M. Nieuwenhuizen and A.
Lagendijk, Locating objects with diffuse light in 'OSA proceedings
on Advances in optical imaging and photon migration', R.R. Alfano
ed. (1994)
- MvR, Th.M. Nieuwenhuizen, E. Hofstetter and M.
Schreiber, Band tails in a disordered system in 'Photonic band gaps
and localization', C. M. Soukoulis ed., 509-513, Plenum Press
(1993)
- MvR, Anyons
and
Bosonization in 2+1 dimensions, MSc thesis
(1991)
|