Team

Science is really a team effort. The people below are collaborating with me on different Projects.

I am always looking for new people to join my lab. For current open internship projects, see this page. Since we do mostly modelling, computer simulations and advanced data analysis (that means, bluntly said, computer programming and mathematics), some affinity and experience with math and programming would really help. If you’re motivated and willing to learn, you don’t have to be an expert of course, but especially for short internships it is better to be able to focus on the science than on learning how  to program.

Undergraduate

  Mihaela Neacsu is extending the work of Sam Vernhezen (see below) to measure the information transfer of inhibitory-excitatory microcircuits.

Graduate

Niccolò Calcini is developing a new method for analysing calcium data, is doing in-vitro experiments to measure the information transfer in excitatory and inhibitory neurons and is making network models of his results.

Tim Winter is integrating biophysical simulation models on the one hand, and phenomenological models, using ‘FORCE’ learning to make recurrent neural networks that can learn to perform tasks. 

Lino Vliex is integrating biologically realistic models of barrel and motor cortex, in order to evaluate the quality of whisker-related information processing. This to answer the question to what extend motor and sensory information are optimally integrated in (active) sensing tasks. 

Prescilla Uijtewaal is modelling balanced networks to in a joint project with Bernhard Englitz. In particular, she is investigating the relation between network structure (cell types, connectivity) and dynamics

 

Alumni

Ate Bijlsma developed single-neuron models to explain his recordings.

Sam Verhezen measured the information transfer of inhibitory-excitatory microcircuits.

Dimitris Chatzakis compared different methods to measure information transfer, and how that depends on neuron type during his Erasmus internship.

Eva Koenders modelled the VC data Ate Bijlsma recorded, in order to investigate the threshold behaviour in barrel cortical neurons.

Linda Wouters modelled plasticity after whisker deprivation in barrel cortex.

Thijs Groenveld has analysed a dataset from Janelia farm to validate our model

Charlee Fletterman has compared models of predictive coding. 

Isolde Kuijper has investigated the effects of adaptation and non-linear processing on optimal coding in single neurons

Jiri Brummer has investigated biologically realistic balanced networks.

Pantelis Leptourgos has researched Bayesian detection in single neurons.

Stefan Bucher has fitted GLM models to hippocampal in vitro data. 

Laura van Heerden has modelled the high-conductance state in thalamocortical relay neurons.

Arjan Groen has calculated the reliability of spike trains in models of CA3 of hippocampus.

Lisanne Huurdeman has analysed in-vitro data of thalamocortical relay cells.