Michiel W. H. Remme

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The dendritic tree contributes significantly to the elementary computations a neuron performs while converting its synaptic inputs into action potential output. Traditionally, these computations have been characterized as both temporally and spatially localized. Under this localist account, neurons compute near-instantaneous mappings from their current(More)
Pyramidal neurons in the subiculum typically display either bursting or regular-spiking behaviour. Although this classification into two neuronal classes is well described, it is unknown how these two classes of neurons contribute to the integration of input to the subiculum. Here, we report that bursting neurons possess a hyperpolarization-activated cation(More)
Dendrites of many types of neurons contain voltage-dependent conductances that are active at subthreshold membrane potentials. To understand the computations neurons perform it is key to understand the role of active dendrites in the subthreshold processing of synaptic inputs. We examine systematically how active dendritic conductances affect the time(More)
Synaptic inputs to neurons are processed in a frequency-dependent manner, with either low-pass or resonant response characteristics. These types of filtering play a key role in the frequency-specific information flow in neuronal networks. While the generation of resonance by specific ionic conductances is well investigated, less attention has been paid to(More)
KEY POINTS The local field potential (LFP), the low-frequency part of extracellular potentials recorded in neural tissue, is often used for probing neural circuit activity. Interpreting the LFP signal is difficult, however. While the cortical LFP is thought mainly to reflect synaptic inputs onto pyramidal neurons, little is known about the role of the(More)
Neurons adjust their intrinsic excitability when experiencing a persistent change in synaptic drive. This process can prevent neural activity from moving into either a quiescent state or a saturated state in the face of ongoing plasticity, and is thought to promote stability of the network in which neurons reside. However, most neurons are embedded in(More)
Neuronal electrophysiology is in#uenced by both channel distribution and morphology. Distinguishing two sources of morphological variability*metrics and topology*we show that model neurons sharing the same channel densities and anatomical size can derive functional di!erentiation from their dendritic topology. Firing frequencies in these metrically reduced(More)
The signal transfer of a neuronal network is shaped by the local interactions between the excitatory principal cells and the inhibitory interneurons. We investigated with a simple lumped model how feedforward and feedback inhibition in!uence the steady-state network signal transfer. We analyze how the properties of inhibition a"ect the input/output space of(More)
Spikelets are brief, spike-like depolarizations of small amplitude (< 20 mV) that can be measured in somatic intracellular recordings. Prominent spikelet activity was demonstrated in hippocampal CA1 pyramidal neurons in awake behaving [1,2] and anesthetized animals [3]. However, spikelets are rarely observed in vitro, and basic mechanisms underlying their(More)