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Dive into the research topics where Matthew F. Nolan is active.

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Featured researches published by Matthew F. Nolan.


Cell | 2004

A Behavioral Role for Dendritic Integration: HCN1 Channels Constrain Spatial Memory and Plasticity at Inputs to Distal Dendrites of CA1 Pyramidal Neurons

Matthew F. Nolan; Gaël Malleret; Josh T. Dudman; Derek L. Buhl; Bina Santoro; Emma Gibbs; Svetlana Vronskaya; György Buzsáki; Steven A. Siegelbaum; Eric R. Kandel; Alexei Morozov

The importance of long-term synaptic plasticity as a cellular substrate for learning and memory is well established. By contrast, little is known about how learning and memory are regulated by voltage-gated ion channels that integrate synaptic information. We investigated this question using mice with general or forebrain-restricted knockout of the HCN1 gene, which we find encodes a major component of the hyperpolarization-activated inward current (Ih) and is an important determinant of dendritic integration in hippocampal CA1 pyramidal cells. Deletion of HCN1 from forebrain neurons enhances hippocampal-dependent learning and memory, augments the power of theta oscillations, and enhances long-term potentiation (LTP) at the direct perforant path input to the distal dendrites of CA1 pyramidal neurons, but has little effect on LTP at the more proximal Schaffer collateral inputs. We suggest that HCN1 channels constrain learning and memory by regulating dendritic integration of distal synaptic inputs to pyramidal cells.


Cell | 2003

The Hyperpolarization-Activated HCN1 Channel Is Important for Motor Learning and Neuronal Integration by Cerebellar Purkinje Cells

Matthew F. Nolan; Gaël Malleret; Ka Hung Lee; Emma Gibbs; Joshua T. Dudman; Bina Santoro; Deqi Yin; Richard F. Thompson; Steven A. Siegelbaum; Eric R. Kandel; Alexei Morozov

In contrast to our increasingly detailed understanding of how synaptic plasticity provides a cellular substrate for learning and memory, it is less clear how a neurons voltage-gated ion channels interact with plastic changes in synaptic strength to influence behavior. We find, using generalized and regional knockout mice, that deletion of the HCN1 channel causes profound motor learning and memory deficits in swimming and rotarod tasks. In cerebellar Purkinje cells, which are a key component of the cerebellar circuit for learning of correctly timed movements, HCN1 mediates an inward current that stabilizes the integrative properties of Purkinje cells and ensures that their input-output function is independent of the previous history of their activity. We suggest that this nonsynaptic integrative function of HCN1 is required for accurate decoding of input patterns and thereby enables synaptic plasticity to appropriately influence the performance of motor activity.


Neuron | 2013

Feedback Inhibition Enables Theta-Nested Gamma Oscillations and Grid Firing Fields

Hugh Pastoll; Lukas Solanka; Mark C. W. van Rossum; Matthew F. Nolan

Cortical circuits are thought to multiplex firing rate codes with temporal codes that rely on oscillatory network activity, but the circuit mechanisms that combine these coding schemes are unclear. We establish with optogenetic activation of layer II of the medial entorhinal cortex that theta frequency drive to this circuit is sufficient to generate nested gamma frequency oscillations in synaptic activity. These nested gamma oscillations closely resemble activity during spatial exploration, are generated by local feedback inhibition without recurrent excitation, and have clock-like features suitable as reference signals for multiplexing temporal codes within rate-coded grid firing fields. In network models deduced from our data, feedback inhibition supports coexistence of theta-nested gamma oscillations with attractor states that generate grid firing fields. These results indicate that grid cells communicate primarily via inhibitory interneurons. This circuit mechanism enables multiplexing of oscillation-based temporal codes with rate-coded attractor states.


The Journal of Neuroscience | 2007

HCN1 channels control resting and active integrative properties of stellate cells from layer II of the entorhinal cortex

Matthew F. Nolan; Joshua T. Dudman; Paul D. Dodson; Bina Santoro

Whereas recent studies have elucidated principles for representation of information within the entorhinal cortex, less is known about the molecular basis for information processing by entorhinal neurons. The HCN1 gene encodes ion channels that mediate hyperpolarization-activated currents (Ih) that control synaptic integration and influence several forms of learning and memory. We asked whether hyperpolarization-activated, cation nonselective 1 (HCN1) channels control processing of information by stellate cells found within layer II of the entorhinal cortex. Axonal projections from these neurons form a major component of the synaptic input to the dentate gyrus of the hippocampus. To determine whether HCN1 channels control either the resting or the active properties of stellate neurons, we performed whole-cell recordings in horizontal brain slices prepared from adult wild-type and HCN1 knock-out mice. We found that HCN1 channels are required for rapid and full activation of hyperpolarization-activated currents in stellate neurons. HCN1 channels dominate the membrane conductance at rest, are not required for theta frequency (4–12 Hz) membrane potential fluctuations, but suppress low-frequency (<4 Hz) components of spontaneous and evoked membrane potential activity. During sustained activation of stellate cells sufficient for firing of repeated action potentials, HCN1 channels control the pattern of spike output by promoting recovery of the spike afterhyperpolarization. These data suggest that HCN1 channels expressed by stellate neurons in layer II of the entorhinal cortex are key molecular components in the processing of inputs to the hippocampal dentate gyrus, with distinct integrative roles during resting and active states.


Neuron | 2008

Tuning of Synaptic Integration in the Medial Entorhinal Cortex to the Organization of Grid Cell Firing Fields

Derek L.F. Garden; Paul D. Dodson; Cian O'Donnell; Melanie D. White; Matthew F. Nolan

Neurons important for cognitive function are often classified by their morphology and integrative properties. However, it is unclear if within a single class of neuron these properties tune synaptic responses to the salient features of the information that each neuron represents. We demonstrate that for stellate neurons in layer II of the medial entorhinal cortex, the waveform of postsynaptic potentials, the time window for detection of coincident inputs, and responsiveness to gamma frequency inputs follow a dorsal-ventral gradient similar to the topographical organization of grid-like spatial firing fields of neurons in this area. We provide evidence that these differences are due to a membrane conductance gradient mediated by HCN and leak potassium channels. These findings suggest key roles for synaptic integration in computations carried out within the medial entorhinal cortex and imply that tuning of neural information processing by membrane ion channels is important for normal cognitive function.


Neuron | 2002

Activity-dependent regulation of HCN pacemaker channels by cyclic AMP: signaling through dynamic allosteric coupling.

Jing W. Wang; Shan Chen; Matthew F. Nolan; Steven A. Siegelbaum

Signal transduction in neurons is a dynamic process, generally thought to be driven by transient changes in the concentration of second messengers. Here we describe a novel regulatory mechanism in which the dynamics of signaling through cyclic AMP are mediated by activity-dependent changes in the affinity of the hyperpolarization-activated, cation nonselective (HCN) channels for cAMP, rather than by changes in cAMP concentration. Due to the allosteric coupling of channel opening and ligand binding, changes in cellular electrical activity that alter the opening of the HCN channels modify the binding of static, basal levels of cAMP. These changes in ligand binding produce long-lasting changes in channel function which can contribute to the regulation of rhythmic firing patterns.


The Journal of Physiology | 2003

Orexins induce increased Excitability and Synchronisation of Rat Sympathetic Preganglionic Neurones

Marco van den Top; Matthew F. Nolan; Kevin Lee; Peter J. Richardson; Ruud M. Buijs; Ceri H. Davies; David Spanswick

The neuropeptides orexin A and B are synthesised by perifornical and lateral hypothalamic (LH) neurones and exert a profound influence on autonomic sympathetic processes. LH neurones project to spinal areas containing sympathetic preganglionic neurones (SPNs) and therefore may directly modulate sympathetic output. In the present study we examined the possibility that orexinergic inputs from the LH influence SPN activity. Orexin‐positive neurones in the LH were labelled with pseudorabies virus injected into the liver of parasympathetically denervated animals and orexin fibres were found adjacent to the soma and dendrites of SPNs. Orexin A or B (10–1000 nm) directly and reversibly depolarised SPNs in spinal cord slices. The response to orexin A was significantly reduced in the presence of the orexin receptor 1 (OX1R) antagonist SB334867A at concentrations of 1–10 μm. Single cell reverse transcriptase‐polymerase chain reaction revealed expression of mRNA for both OX1R and OX2R in the majority of orexin‐sensitive SPNs. The orexin‐induced depolarisation involved activation of pertussis toxin‐sensitive G‐proteins and closure of a K+ conductance via a protein kinase A (PKA)‐dependent pathway that did not require an increase in intracellular Ca2+. Orexins also induced biphasic subthreshold membrane potential oscillations and synchronised activity between pairs of electrically coupled SPNs. Coupling coefficients and estimated junctional conductances between SPNs were not altered indicating synchronisation is due to activation of previously silent coupled neurones rather than modulation of gap junctions. These findings are consistent with a direct excitation and synchronisation of SPNs by orexinergic neurones that in vivo could increase the frequency and coherence of sympathetic nerve discharges and mediate LH effects on sympathetic components of energy homeostasis and cardiovascular control.


Neuron | 2011

A Critical Role for Neurofascin in Regulating Action Potential Initiation through Maintenance of the Axon Initial Segment

Barbara Zonta; Anne Desmazieres; Arianna Rinaldi; Steven Tait; Diane L. Sherman; Matthew F. Nolan; Peter J. Brophy

Summary The axon initial segment (AIS) is critical for the initiation and propagation of action potentials. Assembly of the AIS requires interactions between scaffolding molecules and voltage-gated sodium channels, but the molecular mechanisms that stabilize the AIS are poorly understood. The neuronal isoform of Neurofascin, Nfasc186, clusters voltage-gated sodium channels at nodes of Ranvier in myelinated nerves: here, we investigate its role in AIS assembly and stabilization. Inactivation of the Nfasc gene in cerebellar Purkinje cells of adult mice causes rapid loss of Nfasc186 from the AIS but not from nodes of Ranvier. This causes AIS disintegration, impairment of motor learning and the abolition of the spontaneous tonic discharge typical of Purkinje cells. Nevertheless, action potentials with a modified waveform can still be evoked and basic motor abilities remain intact. We propose that Nfasc186 optimizes communication between mature neurons by anchoring the key elements of the adult AIS complex.


The Journal of Physiology | 1996

Electrotonic coupling between rat sympathetic preganglionic neurones in vitro.

Stephen D. Logan; A E Pickering; I.C. Gibson; Matthew F. Nolan; David Spanswick

1. Using the whole‐cell recording technique in rat spinal cord slices we have shown that 26% of sympathetic preganglionic neurones (SPNs) show spontaneous membrane potential oscillations. These oscillations consist of trains of biphasic waves, which we have termed spikelets because of their similarity to truncated action potentials. 2. The spikelets were inhibited by TTX and anaesthetics such as alpha‐chloralose but not by the intracellular application of lidocaine N‐ethyl bromide (QX‐314). 3. By stimulating the ventral roots we have demonstrated the presence of short‐latency depolarizations (SLDs) in oscillating neurones. These SLDs have a similar waveform to the spontaneous spikelets, and also show the ability to override the frequency of occurrence of the spontaneous spikelets. These observations suggest that the spikelets result from electrotonic coupling between the oscillating SPNs. 4. SLDs were also observed in a population of non‐oscillating, electrotonically coupled, quiescent SPNs. It was possible to induce oscillations in these neurones by the injection of depolarizing current (in the presence of QX‐314), suggesting that these neurones are also gap‐junction coupled. 5. Simultaneous whole‐cell recordings were obtained from twenty‐three pairs of SPNs. Two pairs displayed both spontaneous, synchronized oscillations and action potentials. Electrotonic coupling was confirmed by the detection of membrane polarization in both neurones in response to current injected into one neurone. In a further two pairs of quiescent SPNs, injection of depolarizing current pulses into one neurone induced action potential discharge in that neurone and a depolarization and oscillations in the other neurone. 6. The ability of groups of electrotonically coupled SPNs to generate spontaneous discharges within the spinal cord provides a novel mechanism for the integration and synchronization of information within the sympathetic nervous system.


PLOS Computational Biology | 2010

Stochastic Ion Channel Gating in Dendritic Neurons: Morphology Dependence and Probabilistic Synaptic Activation of Dendritic Spikes

Robert C. Cannon; Cian O'Donnell; Matthew F. Nolan

Neuronal activity is mediated through changes in the probability of stochastic transitions between open and closed states of ion channels. While differences in morphology define neuronal cell types and may underlie neurological disorders, very little is known about influences of stochastic ion channel gating in neurons with complex morphology. We introduce and validate new computational tools that enable efficient generation and simulation of models containing stochastic ion channels distributed across dendritic and axonal membranes. Comparison of five morphologically distinct neuronal cell types reveals that when all simulated neurons contain identical densities of stochastic ion channels, the amplitude of stochastic membrane potential fluctuations differs between cell types and depends on sub-cellular location. For typical neurons, the amplitude of membrane potential fluctuations depends on channel kinetics as well as open probability. Using a detailed model of a hippocampal CA1 pyramidal neuron, we show that when intrinsic ion channels gate stochastically, the probability of initiation of dendritic or somatic spikes by dendritic synaptic input varies continuously between zero and one, whereas when ion channels gate deterministically, the probability is either zero or one. At physiological firing rates, stochastic gating of dendritic ion channels almost completely accounts for probabilistic somatic and dendritic spikes generated by the fully stochastic model. These results suggest that the consequences of stochastic ion channel gating differ globally between neuronal cell-types and locally between neuronal compartments. Whereas dendritic neurons are often assumed to behave deterministically, our simulations suggest that a direct consequence of stochastic gating of intrinsic ion channels is that spike output may instead be a probabilistic function of patterns of synaptic input to dendrites.

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Hugh Pastoll

University of Edinburgh

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Steven A. Siegelbaum

Howard Hughes Medical Institute

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