Ad Aertsen

Delay selection by spike-timing-dependent plasticity shapes efficient networks for signal transmission

The paper shows that spike-timing-dependent plasticity (STDP) selects connections with delays matching network oscillation periods, optimizing signal transmission efficiency.

Inhibitory Gain and Hub Architecture Confer Dynamic Resilience to Microcircuit Degeneration

The paper investigates how inhibitory gain and hub architecture contribute to neural circuit resilience against degeneration by analyzing spiking networks with controlled pruning strategies.

Spontaneous Necker-Cube Reversals are not that Spontaneous

The paper investigates EEG correlates of perceptual reversals in Necker cubes, finding early neural destabilization before spontaneous reversals, suggesting they are not as spontaneous as previously thought.

Relevance of network topology for the dynamics of biological neuronal networks

The paper analyzes the structure and dynamics of biological neuronal networks to determine how network topology influences activity, finding that effective synaptic weight, not topology class, is the key predictor of spiking dynamics.

Facilitating the propagation of spiking activity in feedforward networks by including feedback

This paper shows that adding feedback connections to modular neuronal networks improves communication through resonance by enabling faster and more reliable propagation of single spike volleys.

From space to time: Spatial inhomogeneities lead to the emergence of spatio-temporal activity sequences in spiking neuronal networks

This paper shows that anisotropic and correlated connectivity in neuronal networks can generate spatio-temporal activity sequences without requiring external training or manual embedding.

Direct Pathway Neurons in Mouse Dorsolateral Striatum In Vivo Receive Stronger Synaptic Input than Indirect Pathway Neurons

The paper compares synaptic input strength between direct and indirect pathway neurons in the striatum of mice, finding direct pathway neurons receive stronger input, which is lost in dopamine-depleted mice.

Sensorimotor Processing In The Basal Ganglia Leads To Transient Beta Oscillations During Behavior

The paper models transient beta oscillations in the basal ganglia using a computational model combined with experimental data from rats performing a task, showing they share mechanisms with pathological beta oscillations in Parkinson's disease.

Activity Dynamics and Signal Representation in Striatal Network Model with Distance-dependent Connectivity

This study investigates how distance-dependent connectivity in striatal network models affects activity dynamics, finding that different connectivity structures lead to distinct activity patterns associated with normal function and disease states.

Dynamical state of the network determines the efficacy of single neuron properties in shaping the network activity

This study shows that single neuron spiking patterns influence network activity dynamics depending on the network state, with some patterns ineffective in altering activity qualitatively in large regions of the state space.

Recovery of dynamics and function in spiking neural networks by closed-loop control

This paper introduces delayed feedback control to restore normal neural network dynamics and recover computations in spiking neural networks.