Correlated neuronal activity and its relationship to coding, dynamics and network architectureCorrelated activity in populations of neurons has been observed in many brain regions and plays a central role in cortical coding, attention, and network dynamics. Accurately quantifying neuronal correlations presents several difficulties. For example, despite recent advances in multicellular recording techniques, the number of neurons from which spiking activity can be simultaneously recorded remains orders magnitude smaller than the size of local networks. In addition, there is a lack of consensus on the distribution of pairwise spike cross correlations obtained in extracellular multi-unit recordings. These challenges highlight the need for theoretical and computational approaches to understand how correlations emerge and to decipher their functional role in the brain. |
Contents
Correlated neuronal activity and its relationship to coding dynamics and network architecture | 5 |
When do microcircuits produce beyondpairwise correlations? | 8 |
Longterm plasticity determines the postsynaptic response to correlated afferents with multivesicular shortterm synaptic depression | 33 |
Phase synchrony facilitates binding and segmentation of natural images in a coupled neural oscillator network | 44 |
Patterns of interval correlations in neural oscillators with adaptation | 65 |
Propagating synchrony in feedforward networks | 73 |
Simultaneous stability and sensitivity in model cortical networks is achieved through anticorrelations between the in and outdegree of connectivity | 98 |
Statistical evaluation of synchronous spike patterns extracted by frequent item set mining | 115 |
Singleunit activities during epileptic discharges in the human hippocampal formation | 142 |
A unified view on weakly correlated recurrent networks | 149 |
Efficient neural codes can lead to spurious synchronization | 168 |
Impact of neuronal heterogeneity on correlated colored noiseinduced synchronization | 172 |
Direct connections assist neurons to detect correlation in small amplitude noises | 192 |
A generative spike train model with timestructured higher order correlations | 202 |
Interareal coupling reduces encoding variability in multiarea models of spatial working memory | 223 |
Correlations in background activity control persistent state stability and allow execution of working memory tasks | 128 |