Dr Dimitris Bampasakis PhD, FHEA

Dr Dimitris Bampasakis

School of Psychology

Contact details

School of Psychology
University of Birmingham
B15 2TT

Dr Dimitris Bampasakis is interested in the mathematical computations performed by neurons. His greatest contribution is showing how short term synaptic depression at an inhibitory synapse can alter the computation performed by the neuron, allowing it to use multiplication when integrating inputs from different sources.


  • Bsc in Physics
  • Msc in Brain and Mind Sciences
  • PhD in Computational Neuroscience


Dr Dimitris Bampasakis studied physics at the University of Crete. After his first encounter with artificial neural networks, he decided to investigate functions of the human brain. This led him to an undertake an interdisciplinary Masters programme in Brain and Mind Sciences, and then a PhD in Computational Neuroscience.


  • Foundations / CN-CR Issues
  • Advanced Computational Methods
  • Mind, Brain, and Models
  • Introduction to Computational Methods


Research interests

Dr Dimitris Bampasakis is interested in mathematical models that replicate neuronal activity in various levels of abstraction, like artificial neural networks, integrate and fire neurons, as well as biologically realistic neurons.


Journal papers

Dimitris Bampasakis, Reinoud Maex, Neil Davey, and Volker Steuber. Inhibitory synaptic plasticity and gain modulation in cerebellar nucleus neurons. (in preparation) 

Conference papers

Vavourakis, V., Bampasakis, D., Kazakidi, A., Pateromichelakis, N., Ekaterinaris, J. a., &

Tsakiris, D. P. (2012). Generation of primitive behaviors for non-linear hyperelastic octopus-inspired robotic arm. In 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) (pp. 725–730). 


Dimitris Bampasakis, Reinoud Maex, Neil Davey, and Volker Steuber (2014). Determinants of gain modulation enabled by short-term depression at an inhibitory cerebellar synapse. BMC Neuroscience 15, P11. 

Dimitris Bampasakis, Reinoud Maex, Neil Davey, and Volker Steuber (2014). Multiplicative gain modulation arising from inhibitory synaptic plasticity in the cerebellar nuclei. Frontiers in Systems Neuroscience.

Dimitris Bampasakis, Reinoud Maex, Neil Davey, and Volker Steuber (2013). Short-term depression of inhibitory Purkinje cell synapses enhances gain modulation in the cerebellar nuclei. BMC Neuroscience 14, P374.

Hugo Cornelis, Dimitris Bampasakis, Volker Steuber, James M. Bower (2013). Interoperability in the GENESIS 3.0 Software Federation: the NEU