@article {46049, title = {Adaptation to background light enables contrast coding at rod bipolar cell synapses.}, journal = {Neuron}, volume = {81}, year = {2014}, month = {2014 Jan 22}, pages = {388-401}, abstract = {

Rod photoreceptors contribute to vision over an \~{} 6-log-unit range of light intensities. The wide dynamic range of rod vision is thought to depend upon light intensity-dependent switching between two parallel pathways linking rods to ganglion cells: a rod {\textrightarrow} rod bipolar (RB) cell pathway that operates at dim backgrounds and a rod {\textrightarrow} cone {\textrightarrow} cone bipolar cell pathway that operates at brighter backgrounds. We evaluated this conventional model of rod vision by recording rod-mediated light responses from ganglion and AII amacrine cells and by recording RB-mediated synaptic currents from AII amacrine cells in mouse retina. Contrary to the conventional model, we found that the RB pathway functioned at backgrounds sufficient to activate the rod {\textrightarrow} cone pathway. As background light intensity increased, the RB{\textquoteright}s role changed from encoding the absorption of single photons to encoding contrast modulations around mean luminance. This transition is explained by the intrinsic dynamics of transmission from RB synapses.

}, keywords = {2-Amino-5-phosphonovalerate, Adaptation, Ocular, Animals, Biophysics, Computer Simulation, Excitatory Amino Acid Antagonists, Glucosamine 6-Phosphate N-Acetyltransferase, Green Fluorescent Proteins, In Vitro Techniques, Light, Mice, Mice, Inbred C57BL, Mice, Knockout, Mice, Transgenic, Models, Neurological, Patch-Clamp Techniques, Quinoxalines, Retinal Bipolar Cells, Retinal Rod Photoreceptor Cells, Synapses, Visual Pathways}, issn = {1097-4199}, doi = {10.1016/j.neuron.2013.10.054}, author = {Ke, Jiang-Bin and Wang, Yanbin V and Borghuis, Bart G and Cembrowski, Mark S and Riecke, Hermann and Kath, William L and Demb, Jonathan B and Singer, Joshua H} } @article {45459, title = {Intrinsic bursting of aII amacrine cells underlies oscillations in the rd1 mouse retina.}, journal = {Journal of Neurophysiology}, volume = {112}, year = {2014}, month = {2014 Sep 15}, pages = {1491-504}, abstract = {

In many forms of retinal degeneration, photoreceptors die but inner retinal circuits remain intact. In the rd1 mouse, an established model for blinding retinal diseases, spontaneous activity in the coupled network of AII amacrine and ON cone bipolar cells leads to rhythmic bursting of ganglion cells. Since such activity could impair retinal and/or cortical responses to restored photoreceptor function, understanding its nature is important for developing treatments of retinal pathologies. Here we analyzed a compartmental model of the wild-type mouse AII amacrine cell to predict that the cell{\textquoteright}s intrinsic membrane properties, specifically, interacting fast Na and slow, M-type K conductances, would allow its membrane potential to oscillate when light-evoked excitatory synaptic inputs were withdrawn following photoreceptor degeneration. We tested and confirmed this hypothesis experimentally by recording from AIIs in a slice preparation of rd1 retina. Additionally, recordings from ganglion cells in a whole mount preparation of rd1 retina demonstrated that activity in AIIs was propagated unchanged to elicit bursts of action potentials in ganglion cells. We conclude that oscillations are not an emergent property of a degenerated retinal network. Rather, they arise largely from the intrinsic properties of a single retinal interneuron, the AII amacrine cell.

}, issn = {1522-1598}, doi = {10.1152/jn.00437.2014}, author = {Choi, Hannah and Zhang, Lei and Cembrowski, Mark S and Sabottke, Carl F and Markowitz, Alexander L and Butts, Daniel A and Kath, William L and Singer, Joshua H and Riecke, Hermann} } @article {6715, title = {Balanced synaptic impact via distance-dependent synapse distribution and complementary expression of AMPARs and NMDARs in hippocampal dendrites.}, journal = {Neuron}, volume = {80}, year = {2013}, month = {2013 Dec 18}, pages = {1451-63}, abstract = {

Neuronal computation involves the integration of synaptic inputs that are often distributed over expansive dendritic trees, suggesting the need for compensatory mechanisms that enable spatially disparate synapses to influence neuronal output. In hippocampal CA1 pyramidal neurons, such mechanisms have indeed been reported, which normalize either the ability of distributed synapses to drive action potential initiation in the axon or their ability to drive dendritic spiking locally. Here we report that these mechanisms can coexist, through an elegant combination of distance-dependent regulation of synapse number and synaptic expression of AMPA and NMDA receptors. Together, these complementary gradients allow individual dendrites in both the apical and basal dendritic trees of hippocampal neurons to operate as facile computational subunits capable of supporting both global integration in the soma/axon and local integration in the dendrite.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2013.09.027}, author = {Menon, Vilas and Musial, Timothy F and Liu, Annie and Katz, Yael and Kath, William L and Spruston, Nelson and Nicholson, Daniel A} } @article {6720, title = {Hippocampal pyramidal neurons comprise two distinct cell types that are countermodulated by metabotropic receptors.}, journal = {Neuron}, volume = {76}, year = {2012}, month = {2012 Nov 21}, pages = {776-89}, abstract = {

Relating the function of neuronal cell types to information processing and behavior is a central goal of neuroscience. In the hippocampus, pyramidal cells in CA1 and the subiculum process sensory and motor cues to form a cognitive map encoding spatial, contextual, and emotional information, which they transmit throughout the brain. Do these cells constitute a single class or are there multiple cell types with specialized functions? Using unbiased cluster analysis, we show that there are two morphologically and electrophysiologically distinct principal cell types that carry hippocampal output. We show further that these two cell types are inversely modulated by the synergistic action of glutamate and acetylcholine acting on metabotropic receptors that are central to hippocampal function. Combined with prior connectivity studies, our results support a model of hippocampal processing in which the two pyramidal cell types are predominantly segregated into two parallel pathways that process distinct modalities of information.

}, keywords = {3-dione, 6-Cyano-7-nitroquinoxaline-2, Analysis of Variance, Animals, Benzylamines, Biophysics, CA1 Region, Electric Stimulation, Excitatory Amino Acid Antagonists, Excitatory Amino Acid Transporter 3, GABA Antagonists, Glutamate Decarboxylase, Hippocampal, Lysine, Male, Membrane Potentials, Metabotropic Glutamate, Neurons, Newborn, Patch-Clamp Techniques, Phosphinic Acids, Pyridazines, Rats, Receptors, Time Factors}, issn = {1097-4199}, doi = {10.1016/j.neuron.2012.09.036}, author = {Graves, Austin R and Moore, Shannon J and Bloss, Erik B and Mensh, Brett D and Kath, William L and Spruston, Nelson} } @article {46048, title = {The mechanisms of repetitive spike generation in an axonless retinal interneuron.}, journal = {Cell Reports}, volume = {1}, year = {2012}, month = {2012 Feb 23}, pages = {155-66}, abstract = {

Several types of retinal interneurons exhibit spikes but lack axons. One such neuron is the AII amacrine cell, in which spikes recorded at the soma exhibit small amplitudes (\<10 mV) and broad time courses (\>5 ms). Here, we used electrophysiological recordings and computational analysis to examine the mechanisms underlying this atypical spiking. We found that somatic spikes likely represent large, brief action potential-like events initiated in a single, electrotonically distal dendritic compartment. In this same compartment, spiking undergoes slow modulation, likely by an M-type K conductance. The structural correlate of this compartment is a thin neurite that extends from the primary dendritic tree: local application of TTX to this neurite, or excision of it, eliminates spiking. Thus, the physiology of the axonless AII is much more complex than would be anticipated from morphological descriptions and somatic recordings; in particular, the AII possesses a single dendritic structure that controls its firing pattern.

}, keywords = {Action Potentials, Amacrine Cells, Animals, Axons, Female, Interneurons, Ion Channel Gating, Mice, Mice, Inbred C57BL, Models, Neurological, Potassium Channels, Retina, Time Factors}, issn = {2211-1247}, doi = {10.1016/j.celrep.2011.12.006}, author = {Cembrowski, Mark S and Logan, Stephen M and Tian, Miao and Jia, Li and Li, Wei and Kath, William L and Riecke, Hermann and Singer, Joshua H} } @article {5922, title = {Synaptic amplification by dendritic spines enhances input cooperativity.}, journal = {Nature}, volume = {491}, year = {2012}, month = {2012 Nov 22}, pages = {599-602}, abstract = {

Dendritic spines are the nearly ubiquitous site of excitatory synaptic input onto neurons and as such are critically positioned to influence diverse aspects of neuronal signalling. Decades of theoretical studies have proposed that spines may function as highly effective and modifiable chemical and electrical compartments that regulate synaptic efficacy, integration and plasticity. Experimental studies have confirmed activity-dependent structural dynamics and biochemical compartmentalization by spines. However, there is a longstanding debate over the influence of spines on the electrical aspects of synaptic transmission and dendritic operation. Here we measure the amplitude ratio of spine head to parent dendrite voltage across a range of dendritic compartments and calculate the associated spine neck resistance (R(neck)) for spines at apical trunk dendrites in rat hippocampal CA1 pyramidal neurons. We find that R(neck) is large enough (\ 500 MΩ) to amplify substantially the spine head depolarization associated with a unitary synaptic input by \ 1.5- to \ 45-fold, depending on parent dendritic impedance. A morphologically realistic compartmental model capable of reproducing the observed spatial profile of the amplitude ratio indicates that spines provide a consistently high-impedance input structure throughout the dendritic arborization. Finally, we demonstrate that the amplification produced by spines encourages electrical interaction among coactive inputs through an R(neck)-dependent increase in spine head voltage-gated conductance activation. We conclude that the electrical properties of spines promote nonlinear dendritic processing and associated forms of plasticity and storage, thus fundamentally enhancing the computational capabilities of neurons.

}, keywords = {Animals, Dendritic Spines, Electric Impedance, Excitatory Postsynaptic Potentials, Male, Models, Neurological, Pyramidal Cells, Rats, Sprague-Dawley, Synapses, Wistar}, issn = {1476-4687}, doi = {10.1038/nature11554}, author = {Harnett, Mark T and Makara, Judit K and Spruston, Nelson and Kath, William L and Magee, Jeffrey C} } @article {6779, title = {Slow integration leads to persistent action potential firing in distal axons of coupled interneurons.}, journal = {Nature Neuroscience}, volume = {14}, year = {2011}, month = {2011 Feb}, pages = {200-7}, abstract = {

The conventional view of neurons is that synaptic inputs are integrated on a timescale of milliseconds to seconds in the dendrites, with action potential initiation occurring in the axon initial segment. We found a much slower form of integration that leads to action potential initiation in the distal axon, well beyond the initial segment. In a subset of rodent hippocampal and neocortical interneurons, hundreds of spikes, evoked over minutes, resulted in persistent firing that lasted for a similar duration. Although axonal action potential firing was required to trigger persistent firing, somatic depolarization was not. In paired recordings, persistent firing was not restricted to the stimulated neuron; it could also be produced in the unstimulated cell. Thus, these interneurons can slowly integrate spiking, share the output across a coupled network of axons and respond with persistent firing even in the absence of input to the soma or dendrites.

}, keywords = {Action Potentials, Animals, Axons, Cerebral Cortex, Dendrites, Hippocampus, Interneurons, Mice, Nerve Net, Patch-Clamp Techniques, Synapses, Transgenic}, issn = {1546-1726}, doi = {10.1038/nn.2728}, author = {Sheffield, Mark E J and Best, Tyler K and Mensh, Brett D and Kath, William L and Spruston, Nelson} } @article {46047, title = {A synaptic mechanism for retinal adaptation to luminance and contrast.}, journal = {Journal of Neuroscience}, volume = {31}, year = {2011}, month = {2011 Jul 27}, pages = {11003-15}, abstract = {

The gain of signaling in primary sensory circuits is matched to the stimulus intensity by the process of adaptation. Retinal neural circuits adapt to visual scene statistics, including the mean (background adaptation) and the temporal variance (contrast adaptation) of the light stimulus. The intrinsic properties of retinal bipolar cells and synapses contribute to background and contrast adaptation, but it is unclear whether both forms of adaptation depend on the same cellular mechanisms. Studies of bipolar cell synapses identified synaptic mechanisms of gain control, but the relevance of these mechanisms to visual processing is uncertain because of the historical focus on fast, phasic transmission rather than the tonic transmission evoked by ambient light. Here, we studied use-dependent regulation of bipolar cell synaptic transmission evoked by small, ongoing modulations of membrane potential (V(M)) in the physiological range. We made paired whole-cell recordings from rod bipolar (RB) and AII amacrine cells in a mouse retinal slice preparation. Quasi-white noise voltage commands modulated RB V(M) and evoked EPSCs in the AII. We mimicked changes in background luminance or contrast, respectively, by depolarizing the V(M) or increasing its variance. A linear systems analysis of synaptic transmission showed that increasing either the mean or the variance of the presynaptic V(M) reduced gain. Further electrophysiological and computational analyses demonstrated that adaptation to mean potential resulted from both Ca channel inactivation and vesicle depletion, whereas adaptation to variance resulted from vesicle depletion alone. Thus, background and contrast adaptation apparently depend in part on a common synaptic mechanism.

}, keywords = {Adaptation, Physiological, Amacrine Cells, Animals, Biophysical Phenomena, Biophysics, Calcium, Contrast Sensitivity, Electric Stimulation, Excitatory Postsynaptic Potentials, Female, In Vitro Techniques, Lighting, Male, Mice, Mice, Inbred C57BL, Models, Neurological, Numerical Analysis, Computer-Assisted, Patch-Clamp Techniques, Photic Stimulation, Presynaptic Terminals, Retina, Retinal Bipolar Cells, Synaptic Transmission}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.2631-11.2011}, author = {Jarsky, Tim and Cembrowski, Mark and Logan, Stephen M and Kath, William L and Riecke, Hermann and Demb, Jonathan B and Singer, Joshua H} } @article {6783, title = {A state-mutating genetic algorithm to design ion-channel models.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {106}, year = {2009}, month = {2009 Sep 29}, pages = {16829-34}, abstract = {

Realistic computational models of single neurons require component ion channels that reproduce experimental findings. Here, a topology-mutating genetic algorithm that searches for the best state diagram and transition-rate parameters to model macroscopic ion-channel behavior is described. Important features of the algorithm include a topology-altering strategy, automatic satisfaction of equilibrium constraints (microscopic reversibility), and multiple-protocol fitting using sequential goal programming rather than explicit weighting. Application of this genetic algorithm to design a sodium-channel model exhibiting both fast and prolonged inactivation yields a six-state model that produces realistic activity-dependent attenuation of action-potential backpropagation in current-clamp simulations of a CA1 pyramidal neuron.

}, keywords = {Algorithms, Cell Membrane, Ion Channels, Models, Mutation, Neurons, Sodium Channels, Theoretical}, issn = {1091-6490}, doi = {10.1073/pnas.0903766106}, author = {Menon, Vilas and Spruston, Nelson and Kath, William L} } @article {6784, title = {Synapse distribution suggests a two-stage model of dendritic integration in CA1 pyramidal neurons.}, journal = {Neuron}, volume = {63}, year = {2009}, month = {2009 Jul 30}, pages = {171-7}, abstract = {

Competing models have been proposed to explain how neurons integrate the thousands of inputs distributed throughout their dendritic trees. In a simple global integration model, inputs from all locations sum in the axon. In a two-stage integration model, inputs contribute directly to dendritic spikes, and outputs from multiple branches sum in the axon. These two models yield opposite predictions of how synapses at different dendritic locations should be scaled if they are to contribute equally to neuronal output. We used serial-section electron microscopy to reconstruct individual apical oblique dendritic branches of CA1 pyramidal neurons and observe a synapse distribution consistent with the two-stage integration model. Computational modeling suggests that the observed synapse distribution enhances the contribution of each dendritic branch to neuronal output.

}, keywords = {Animals, Dendrites, Electron, Hippocampus, Humans, Microscopy, Models, Neural Networks (Computer), Neural Pathways, Neurological, Neurons, Synapses}, issn = {1097-4199}, doi = {10.1016/j.neuron.2009.06.023}, author = {Katz, Yael and Menon, Vilas and Nicholson, Daniel A and Geinisman, Yuri and Kath, William L and Spruston, Nelson} } @article {45930, title = {Compartmental neural simulations with spatial adaptivity.}, journal = {Journal of Computational Neuroscience}, volume = {25}, year = {2008}, month = {2008 Dec}, pages = {465-80}, abstract = {

Since their inception, computational models have become increasingly complex and useful counterparts to laboratory experiments within the field of neuroscience. Today several software programs exist to solve the underlying mathematical system of equations, but such programs typically solve these equations in all parts of a cell (or network of cells) simultaneously, regardless of whether or not all of the cell is active. This approach can be inefficient if only part of the cell is active and many simulations must be performed. We have previously developed a numerical method that provides a framework for spatial adaptivity by making the computations local to individual branches rather than entire cells (Rempe and Chopp, SIAM Journal on Scientific Computing, 28: 2139-2161, 2006). Once the computation is reduced to the level of branches instead of cells, spatial adaptivity is straightforward: the active regions of the cell are detected and computational effort is focused there, while saving computations in other regions of the cell that are at or near rest. Here we apply the adaptive method to four realistic neuronal simulation scenarios and demonstrate its improved efficiency over non-adaptive methods. We find that the computational cost of the method scales with the amount of activity present in the simulation, rather than the physical size of the system being simulated. For certain problems spatial adaptivity reduces the computation time by up to 80\%.

}, keywords = {Action Potentials, Adaptation, Biological, Algorithms, Animals, Computer Simulation, Dendrites, Gap Junctions, Hippocampus, Ion Channel Gating, Ion Channels, Models, Neurological, Nerve Net, Neural Networks (Computer), Pyramidal Cells, Signal Processing, Computer-Assisted}, issn = {1573-6873}, doi = {10.1007/s10827-008-0089-3}, author = {Rempe, Michael J and Spruston, Nelson and Kath, William L and Chopp, David L} } @article {45889, title = {Coincidence detection of place and temporal context in a network model of spiking hippocampal neurons.}, journal = {PLoS Computational Biology}, volume = {3}, year = {2007}, month = {2007 Dec}, pages = {e234}, abstract = {

Recent advances in single-neuron biophysics have enhanced our understanding of information processing on the cellular level, but how the detailed properties of individual neurons give rise to large-scale behavior remains unclear. Here, we present a model of the hippocampal network based on observed biophysical properties of hippocampal and entorhinal cortical neurons. We assembled our model to simulate spatial alternation, a task that requires memory of the previous path through the environment for correct selection of the current path to a reward site. The convergence of inputs from entorhinal cortex and hippocampal region CA3 onto CA1 pyramidal cells make them potentially important for integrating information about place and temporal context on the network level. Our model shows how place and temporal context information might be combined in CA1 pyramidal neurons to give rise to splitter cells, which fire selectively based on a combination of place and temporal context. The model leads to a number of experimentally testable predictions that may lead to a better understanding of the biophysical basis of information processing in the hippocampus.

}, keywords = {Action Potentials, Algorithms, Animals, Computer Simulation, Hippocampus, Models, Neurological, Nerve Net, Neurons, Rats, Synaptic Transmission}, issn = {1553-7358}, doi = {10.1371/journal.pcbi.0030234}, author = {Katz, Yael and Kath, William L and Spruston, Nelson and Hasselmo, Michael E} } @article {45909, title = {Distance-dependent differences in synapse number and AMPA receptor expression in hippocampal CA1 pyramidal neurons.}, journal = {Neuron}, volume = {50}, year = {2006}, month = {2006 May 4}, pages = {431-42}, abstract = {

The ability of synapses throughout the dendritic tree to influence neuronal output is crucial for information processing in the brain. Synaptic potentials attenuate dramatically, however, as they propagate along dendrites toward the soma. To examine whether excitatory axospinous synapses on CA1 pyramidal neurons compensate for their distance from the soma to counteract such dendritic filtering, we evaluated axospinous synapse number and receptor expression in three progressively distal regions: proximal and distal stratum radiatum (SR), and stratum lacunosum-moleculare (SLM). We found that the proportion of perforated synapses increases as a function of distance from the soma and that their AMPAR, but not NMDAR, expression is highest in distal SR and lowest in SLM. Computational models of pyramidal neurons derived from these results suggest that they arise from the compartment-specific use of conductance scaling in SR and dendritic spikes in SLM to minimize the influence of distance on synaptic efficacy.

}, keywords = {Animals, Cell Polarity, Cell Shape, Crosses, Genetic, Dendritic Spines, Excitatory Postsynaptic Potentials, Glutamic Acid, Hippocampus, Image Cytometry, Immunohistochemistry, Male, Microscopy, Electron, Transmission, Perforant Pathway, Presynaptic Terminals, Pyramidal Cells, Rats, Rats, Inbred BN, Rats, Inbred F344, Receptors, AMPA, Synapses, Synaptic Transmission}, issn = {0896-6273}, doi = {10.1016/j.neuron.2006.03.022}, author = {Nicholson, Daniel A and Trana, Rachel and Katz, Yael and Kath, William L and Spruston, Nelson and Geinisman, Yuri} } @article {45918, title = {Conditional dendritic spike propagation following distal synaptic activation of hippocampal CA1 pyramidal neurons.}, journal = {Nat Neurosci}, volume = {8}, year = {2005}, month = {2005 Dec}, pages = {1667-76}, abstract = {

The perforant-path projection to the hippocampus forms synapses in the apical tuft of CA1 pyramidal neurons. We used computer modeling to examine the function of these distal synaptic inputs, which led to three predictions that we confirmed in experiments using rat hippocampal slices. First, activation of CA1 neurons by the perforant path is limited, a result of the long distance between these inputs and the soma. Second, activation of CA1 neurons by the perforant path depends on the generation of dendritic spikes. Third, the forward propagation of these spikes is unreliable, but can be facilitated by modest activation of Schaffer-collateral synapses in the upper apical dendrites. This {\textquoteright}gating{\textquoteright} of dendritic spike propagation may be an important activation mode of CA1 pyramidal neurons, and its modulation by neurotransmitters or long-term, activity-dependent plasticity may be an important feature of dendritic integration during mnemonic processing in the hippocampus.

}, keywords = {Action Potentials, Animals, Dendrites, Hippocampus, Long-Term Potentiation, Long-Term Synaptic Depression, Male, Memory, Neural Inhibition, Neural Networks (Computer), Neural Pathways, Neurotransmitter Agents, Organ Culture Techniques, Patch-Clamp Techniques, Perforant Pathway, Pyramidal Cells, Rats, Rats, Wistar, Synaptic Transmission}, issn = {1097-6256}, doi = {10.1038/nn1599}, author = {Jarsky, Tim and Roxin, Alex and Kath, William L and Spruston, Nelson} } @article {45924, title = {Factors mediating powerful voltage attenuation along CA1 pyramidal neuron dendrites.}, journal = {J Physiol}, volume = {568}, year = {2005}, month = {2005 Oct 1}, pages = {69-82}, abstract = {

We performed simultaneous patch-electrode recordings from the soma and apical dendrite of CA1 pyramidal neurons in hippocampal slices, in order to determine the degree of voltage attenuation along CA1 dendrites. Fifty per cent attenuation of steady-state somatic voltage changes occurred at a distance of 238 microm from the soma in control and 409 microm after blocking the hyperpolarization-activated (H) conductance. The morphology of three neurons was reconstructed and used to generate computer models, which were adjusted to fit the somatic and dendritic voltage responses. These models identify several factors contributing to the voltage attenuation along CA1 dendrites, including high axial cytoplasmic resistivity, low membrane resistivity, and large H conductance. In most cells the resting membrane conductances, including the H conductances, were larger in the dendrites than the soma. Simulations suggest that synaptic potentials attenuate enormously as they propagate from the dendrite to the soma, with greater than 100-fold attenuation for synapses on many small, distal dendrites. A prediction of this powerful EPSP attenuation is that distal synaptic inputs are likely only to be effective in the presence of conductance scaling, dendritic excitability, or both.

}, keywords = {Animals, Dendrites, Excitatory Postsynaptic Potentials, Hippocampus, In Vitro Techniques, Male, Models, Neurological, Neural Conduction, Patch-Clamp Techniques, Pyramidal Cells, Rats, Rats, Wistar, Synaptic Transmission}, issn = {0022-3751}, doi = {10.1113/jphysiol.2005.086793}, author = {Golding, Nace L and Mickus, Timothy J and Katz, Yael and Kath, William L and Spruston, Nelson} }