Sensory neuroscience is the study of how the brain processes sensory information, such as sight, sound, touch, etc. Some of the main aspects of our work are:
- Spike-based computation. The brain computes using precisely timed but discrete events called spikes. This mode of computation is different from both traditional analogue and digital computation, and presumably offers benefits compared to them. However, despite several interesting hypotheses and specific models, there is as yet not comprehensive theory of this form of computation.
- Auditory system. As we are interested in computation with precisely timed spikes, the auditory system is a natural one to study as the role of precise temporal information is so well established there.
- Realistic environments. We are interested in how sensory processing is done in realistic rather than laboratory environments. Specifically, rather than using simplified stimuli such as pure tones, we prefer to analyse the processing of complex stimuli such as natural sounds in a noisy background. We are also interested in the problem of processing a continuous stream of sensory data rather than the typical laboratory problem of responding to a brief, precisely delineated stimuli.
We are interested in both fundamental research into these problems, and applications in areas such as robotics and automatic speech recognition.
Publications in sensory neuroscience
Steadman MA, Kim C, Lestang JH, Goodman DFM, Picinali L
Effects of gamification and active listening on short-term sound localization training in virtual reality.
Dietz M, Lestang J-H, Majdak P, Stern RM, Marquardt T, Ewert SD, Hartmann WH, Goodman DFM
A framework for testing and comparing binaural models.
Hearing Research doi: 10.1016/j.heares.2017.11.010
Goodman DFM, Winter IM, Léger AC, de Cheveigné A, Lorenzi C
Modelling firing regularity in the ventral cochlear nucleus: mechanisms, and effects of stimulus level and synaptopathy.
Hearing Research doi: 10.1016/j.heares.2017.09.010
Goodman DFM, Benichoux V, Brette R
Decoding neural responses to temporal cues for sound localization.
Kremer Y, Léger J-F, Goodman D, Brette R, Bourdieu L
Late emergence of the vibrissa direction selectivity map in the rat barrel cortex.
Journal of Neuroscience 31(29). doi:10.1523/?JNEUROSCI.6541-10.2011
Fontaine B, Goodman DFM, Benichoux V, Brette R
Brian Hears: online auditory processing using vectorisation over channels.
Frontiers in Neuroinformatics 5:9. doi: 10.3389/fninf.2011.00009
Goodman DFM, Brette R
Learning to localise sounds with spiking neural networks.
Advances in Neural Information Processing Systems 23
Goodman DFM, Brette R
Spike-timing-based computation in sound localization.
PLoS Computational Biology 6(11): e1000993. doi:10.1371/journal.pcbi.1000993