title: Anomalous neuronal responses to fluctuated inputs.
abstract: The irregular firing of a cortical neuron is thought to result from a highly fluctuating drive that is generated by the balance of excitatory and inhibitory synaptic inputs. A previous study reported anomalous responses of the Hodgkin-Huxley neuron to the fluctuated inputs where an irregularity of spike trains is inversely proportional to an input irregularity. In the current study, we investigated the origin of these anomalous responses with the Hindmarsh-Rose neuron model, map-based models, and a simple mixture of interspike interval distributions. First, we specified the parameter regions for the bifurcations in the Hindmarsh-Rose model, and we confirmed that the model reproduced the anomalous responses in the dynamics of the saddle-node and subcritical Hopf bifurcations. For both bifurcations, the Hindmarsh-Rose model shows bistability in the resting state and the repetitive firing state, which indicated that the bistability was the origin of the anomalous input-output relationship. Similarly, the map-based model that contained bistability reproduced the anomalous responses, while the model without bistability did not. These results were supported by additional findings that the anomalous responses were reproduced by mimicking the bistable firing with a mixture of two different interspike interval distributions. Decorrelation of spike trains is important for neural information processing. For such spike train decorrelation, irregular firing is key. Our results indicated that irregular firing can emerge from fluctuating drives, even weak ones, under conditions involving bistability. The anomalous responses, therefore, contribute to efficient processing in the brain.
authors.affiliation: Department of Applied Mathematics, Fukuoka University, Fukuoka Prefecture 814-0180, Japan.
authors.forename: Ryosuke
authors.initials: R
authors.lastname: Hosaka
authors.affiliation: Tamagawa University Brain Science Institute, Tokyo 194-8610, Japan.
authors.forename: Yutaka
authors.initials: Y
authors.lastname: Sakai
mesh_terms: D000200:Action Potentials / Q000502:physiology; D002540:Cerebral Cortex / Q000502:physiology; D008390:Markov Chains; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D010507:Periodicity