My project focuses on developing new methodologies for quantifying interactions between neural populations from electrophysiology data.
Sensory systems are typically considered as hierarchically organized feed forward streams, such as the retino-geniculate pathway and its follow-up ventral and dorsal streams that pass information from thalamus to a large number of cortical areas. Yet, connectivity in cortex is strictly bidirectional, and for each pair of interconnected cortical regions there is also a parallel cortical-thalamo-cortical path. At a smaller spatial scale, the neural tissue is locally organized in microcircuits of strongly interconnected populations of inhibitory and excitatory neurons.
Understanding how information is processed in this highly recurrent brain network thus requires a fine quantification of its functional and causal interactions. To achieve this, I develop new statistical analysis techniques for neurophysiology data. In particular, I use information theory and kernel methods to detect dependencies in experimental time series.
For more information, please visit my homepage.
, , , , , , and (2012) Hippocampal-Cortical Interaction during Periods of Subcortical Silence
Nature 491 547-553.|
, and (2012) Metabolic cost as an organizing principle for cooperative learning
Advances in Complex Systems . accepted|
, and (2011) Improving quantification of functional networks with EEG inverse problem: Evidence from a decoding point of view
NeuroImage 55(4) 1536-1547.|
, and (2011) Dynamics of excitable neural networks with heterogeneous connectivity
Progress in Biophysics and Molecular Biology 105(1-2) 29-33.|
and (2011) Extraction of functional information from ongoing brain electrical activity: Extraction en temps-réel d'informations fonctionnelles à partir de l'activité électrique cérébrale
IRBM 32(1) 27-34.|
, , and (2010) Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis
Journal of Computational Neuroscience 29(3) 547-566.|
Conference papers (2):
and (2013) Towards a learning-theoretic analysis of spike-timing dependent plasticity
In: Advances in Neural Information Processing Systems 25, (Ed) , , , and , 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), Curran Associates Inc., 2465--2473.
, , and (2011) Finding dependencies between frequencies with the kernel cross-spectral density
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), IEEE, Piscataway, NJ, USA, 2080-2083.
, , and (2012): Centrality of the Mammalian Functional Brain Network, 42nd Annual Meeting of the Society for Neuroscience (Neuroscience 2012), New Orleans, LA, USA.|
, , , , , and (2012): Identifying endogenous rhythmic spatio-temporal patterns in micro-electrode array recordings, 9th annual Computational and Systems Neuroscience meeting (Cosyne 2012), Salt Lake City, UT, USA.|
, , , , , and (2011): Spatiotemporal mapping of rhythmic activity in the inferior convexity of the macaque prefrontal cortex, 41st Annual Meeting of the Society for Neuroscience (Neuroscience 2011), Washington, DC, USA.|
, , , and (2010): High frequency phase-spike synchronization of extracellular signals modulates causal interactions in monkey primary visual cortex, 40th Annual Meeting of the Society for Neuroscience (Neuroscience 2010), San Diego, CA, USA.|
, and (2012): Beta oscillations propagate as traveling waves in the macaque prefrontal cortex, 42nd Annual Meeting of the Society for Neuroscience (Neuroscience 2012), New Orleans, LA, USA.|