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. 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. Moreover, before starting any internship, it is good to think about the following questions:
- What do you expect from an internship, what do you expect to learn?
- What do you want to do next, and what (skills) do you need for that?
- What skills/techniques do you already possess?
- What topics would you like to work on, what are you interested in?
- What is a good work environment for you, what style of supervision works for you?
|Eva Koenders is modelling the VC data Ate Bijlsma (see below) recorded, in order to investigate the threshold behaviour in barrel cortical neurons.|
|Dimitris Chatzakis is doing his Erasmus internship, where he is comparing different methods to measure information transfer, and how that depends on neuron type.
|Sam Verhezen is measuring the information transfer of inhibitory-excitatory microcircuits.|
|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.|
|Ate Bijlsma is doing in-vitro experiments to measure the information transfer in excitatory and inhibitory neurons, and is developing single-neuron models to explain his findings.|
|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.|
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.