Figure 4 - uploaded by Liu Shenquan
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Organization of inter-group and intra-group module in the cortex-BG system. On the left panel is the BG, each channel receives stimulation from the cortex and projects to a subpopulation of thalamus. And their internal structures are displayed on the right panel. On the one hand, cortical part of the sub-population projects to DP, IP or HDP. This activates the neuronal populations in the corresponding pathways. It is important to note that same cortical area projecting to different pathways. The three different colours (A, B, C) indicate the different signals produced by the cortex in the context of different events. Finally, all the information is integrated in GPi/SNr. And BG makes the final decision. We call this process intra-group competition. On the other hand, BG makes inter-group decisions in the result of intra-group competition among multiple groups.
Source publication
Basal ganglia (BG) are a widely recognized neural basis for action selection, but its decision-making mechanism is still a difficult problem for researchers. Therefore, we constructed a spiking neural network inspired by the BG anatomical data. Simulation experiments were based on the principle of dis-inhibition and our functional hypothesis within...
Contexts in source publication
Context 1
... consider that the cortex-BG system uses hierarchical mode to convey information at the computational structure level. And BG is a parallel and integrative network (Haber 2003) (Figure 4). We simulate action selection in both inter-group (The left of Figure 4) and intra-group (The right of Figure 4) situations. ...
Context 2
... BG is a parallel and integrative network (Haber 2003) (Figure 4). We simulate action selection in both inter-group (The left of Figure 4) and intra-group (The right of Figure 4) situations. With the computational model, we will show the role of the three pathways of the BG: the DP is regulated by the IP and the HDP to complete the initiation, switching and termination of an autonomous movement. ...
Context 3
... BG is a parallel and integrative network (Haber 2003) (Figure 4). We simulate action selection in both inter-group (The left of Figure 4) and intra-group (The right of Figure 4) situations. With the computational model, we will show the role of the three pathways of the BG: the DP is regulated by the IP and the HDP to complete the initiation, switching and termination of an autonomous movement. ...
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In this work, inspired by cognitive neuroscience experiments, we propose recurrent spiking neural networks trained to perform multiple target tasks. These models are designed by considering neurocognitive activity as computational processes through dynamics. Trained by input–output examples, these spiking neural networks are reverse engineered to f...
Citations
... Nonlinear dynamics of neuronal electrical behaviors have been extensively studied, which are involved in brain functions or brain diseases (Wang et al. 2021;Wang and Duan 2022;Yu et al. 2022Yu et al. , 2023Li et al. 2023;Song et al. 2023;Yang et al. 2023;Zhou et al. 2023;Ma et al. 2023). For example, the resonance of the medial superior olive (MSO) neurons of the auditory brainstem is related to sound localization (Grothe et al. 2010). ...
Neurons in the medial superior olive (MSO) exhibit high frequency responses such as subthreshold resonance, which is helpful to sensitively detect a small difference in the arrival time of sounds between two ears for precise sound localization. Recently, except for the high frequency depolarization resonance mediated by a low threshold potassium (IKLT) current, a low frequency hyperpolarization resonance mediated by a hyperpolarization-activated cation (IH) current is observed in experiments on the MSO neurons, forming double resonances. The complex dynamics underlying double resonances are studied in an MSO neuron model in the present paper. Firstly, double resonances similar to the experimental observations are simulated as the resting membrane potential is between half-activation voltages of IH and IKLT currents, and stimulation current (IZAP) with large amplitude and exponentially increasing frequency is applied. Secondly, multiple effective factors to modulate double resonances are obtained. Especially, the decrease of time constant of IKLT current and increase of conductance of IH and IKLT currents can enhance the depolarization resonance frequency for precise sound localization. Last, different frequency responses of slow IH and fast IKLT currents in formation of the resonances are acquired. A middle phase difference between IZAP and IKLT currents appears at a high frequency, and the interaction between the positive part of IZAP and the negative IKLT current forms the depolarization resonance. Interaction between the negative part of IZAP and positive IH current with a middle phase difference results in hyperpolarization resonance at a low frequency. Furthermore, the phase difference between IZAP and resonance current can well explain the increase of depolarization resonance frequency modulated by the increase of conductance of IH or IKLT currents. The results present the dynamical and biophysical mechanisms for the double resonances mediated by two currents in the MSO neurons, which is helpful to enhance the depolarization resonance frequency for precise sound localization.
