Firing Rate Models For Gamma Oscillations

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Adenosinergic modulation of hippocampal gamma oscillations

GAMMA OSCILLATIONS: FROM SINGLE CELL TO 1.7.1. Different models to study hippocampal gamma oscillations 4.7. Firing rate 88 4.8. Excitatory post-synaptic

The Amyloid Precursor Protein C-Terminal Domain Alters CA1

gamma-frequency range. Moreover, this effect likely requires AICD presence in the nucleus as neurons transduced with AICDnes behaved like GFP neurons. Spike-frequency adaptation is a property of many neurons defined as a decreasing rate of action potential (AP) firing during prolonged excitation. This mechanism has been shown to play

Frequency-Selective Oscillatory Control of Working Memory

Dec 13, 2020 et al. (2011) presented a data-driven model, in which high beta (beta 2) and gamma oscillations in PPC concatenate to produce low beta (beta 1) oscillations that support the memory trace. This mechanism does not appear to apply in the PFC, where gamma and beta2 are shown to compete,


solely in terms of a simple rate code. Rather, important additional information is encoded by a temporal code in which cellular firing is organized by oscillations in the theta (7-10 Hz) and gamma (40-100 Hz) range. We will begin by describing these oscillations and the way they organize information. We will then review the

Adaptation and shunting inhibition leads to pyramidal

weak gamma, where interneurons fire on every cycle and pyramidal cells skip cycles (randomly), so that the individ-ual pyramidal cell firing is sparse and yet the population shows clear gamma oscillations (B¨orgers et al. 2005). In an idealized and simplified model of weak gamma the pyrami-dal cells fire in clusters, with synchrony within each

Oscillations support co-firing of neurons in the service of

Jan 28, 2021 50 oscillations (13), as well as the presence of fast gamma oscillations (14) represent favorable conditions for human memory formation. However, so far, the role of theta and gamma oscillations in mediating synchronous neural firing in humans during memory formation has remained unclear.

Direct brain recordings fuel advances in cognitive

Gamma oscillation: rhythmic neural activity in the 30 200-Hz frequency range. Gamma oscillations have been implicated in a wide range of cognitive processes including perception, attention, and memory [11,23]. Phase synchrony: two or more neural assemblies oscillating together with a consistent phase relationship.

Top-down versus bottom-up influences on gamma-band

gamma-band oscillations. I will test if salient stimuli not the target of a visual search task drive gamma-band oscillations of the electroencephalogram (EEG) differently than a target or neutral, low-saliency stimulus. 2. To emphasize endogenous attention systems and determine the effect on gamma-band oscillations.

Correlated Firing Improves Stimulus Discrimination in a

oscillations might have for how information is represented by central neurons. One possibility is that firing correlations simply impose an upper limit on the amount of rate-coded information a population of neurons can represent in its pooled activity over a given unit of time [Mazurek, 2002 #1987; Shadlen, 1994 #1807; Shadlen, 1998 #1802].

Edinburgh Research Explorer

95 MEC also generate fast gamma frequency (60-140 Hz) oscillations that are 96 modulated by the slower theta rhythm (Chrobak and Buzsaki, 1998; Colgin et 97 al., 2009). While all grid cells encode location through their firing rate, some 98 also represent location through timing of their action potentials relative to the

Cortical Oscillations Arise from Contextual Interactions that

the reduction of spike rate, the greater the increase in oscillatory power. Multiple studies of oscillations in the brain show a similar trend: stronger narrowband oscillations accompanied by sparser spiking activity (Fig. 3B, but see ref. 7), such as gamma-range oscillations in the medial temporal (15) and the primary visual cortices (5).

Flexible resonance in prefrontal networks with strong

response to external oscillations at slightly higher frequencies. Importantly, we found that the fastest oscillation frequency that can be relayed by the network maximizes local inhibi-tion and is equal to a frequency even higher than that which maximizes the firing rate of excitatory cells; we call this phenomenon population frequency resonance.

Control of timing, rate and bursts of hippocampal place cells

Models supporting either of these views involve inhibitory mechanisms, mediated by either perisomatic interneurons or dendrite­targeting interneurons21 29. Recent work has begun to explore the firing pattern correlates of anatomically identified interneuron types during theta oscillations and other network patterns in anesthetized animals2,5

Mechanisms of network interactions for flexible cortico-basal

Mar 18, 2021 Keywords: Gamma oscillations, beta oscillations, subthalamic nucleus, globus pallidus, movement control Abstract In humans, finely tuned gamma synchronization (60-90 Hz) rapidly appears at movement onset in a motor control network involving primary motor cortex, the basals ganglia and motor thalamus.

Computational Modeling of Neuronal Systems

Dynamics of Excitability and Oscillations. Hodgkin-Huxley model Wilson-Cowan model. Membrane currents Activity functions. Activity dynamics in the phase plane. Response modes: Onset of repetitive activity (bifurcations) Cellular level (spiking) Network level (firing rate)

A role for fast rhythmic bursting neurons in cortical gamma

Firing patterns of the various cell types, presumably recorded in the soma, were also strikingly similar, comparing model with experiment (Fig. 1B). FS cells fired on the highest proportion of field gamma periods (28.5 Hz average firing rate in two model FS cells, overall model oscillation frequency 34.8 Hz), whereas A

Mechanisms for phase shifting in cortical networks and their

However, gamma oscillations are typically weak and therefore have only a small effect on the firing rate, but they may be fundamental for interareal communication (Ardid et al., 2010). Anatomical connectivity acts as a scaffold to give each neuron a stimulus preference (Hubel and Wiesel, 1968; Mooser et al., 2004),

Properties of precise firing synchrony between synaptically

anisms consistent with current models of gamma oscillations? In the present study we examined precise interneuron syn-chrony in vitro driven by mutual coupling. To address the above questions, we recorded intracellularly from over 150 homotypic pairs of mouse somatostatin-containing (SOM) and parvalbumin-containing, fast-spiking (FS

RunningSpeedAlterstheFrequencyofHippocampal GammaOscillations

are strongly correlated with changes in the firing rates of individual interneurons, consistent with models of gamma generation. Gamma oscillations are also

Gamma Oscillations in the Basolateral Amygdala: Biophysical

likely engender oscillatory dynamics within BL. Indeed, oscillations in the gamma frequency range (40 100 Hz) are known to occur in the BL, and yet their origin and effect on local circuits remains unknown. To address this, we constructed a biophysically and anatomically detailed model of the rat BL and its local field potential (LFP)

Which Model to Use for Cortical Spiking Neurons?

The network exhibited rhythms in the alpha and gamma frequency range, transient and sustained spike synchrony, spindle waves, sleep oscillations, and other temporal phenomena. This model was also used in a simulation of a network of 100 000 spiking neurons with realistic cortical anatomy, axonal delays, and

Circuit properties generating gamma oscillations in the

Nov 06, 2017 organization necessary and sufficient to generate sustained gamma rhythms. We found that features of gamma oscillations obtained in vitro were identical to those of a model based on lateral inhibition as the coupling modality (i.e., low irregular firing rate and high oscillation stability).

Edinburgh Research Explorer

30 gamma frequency oscillations in network activity. However, principles relating gamma 31 oscillations, synaptic strength and circuit computations are unclear. We address this in 32 attractor network models that account for grid firing and theta-nested gamma oscillations in 33 the medial entorhinal cortex.

Bio-inspired Models of Memory Capacity, Recall Performance

The firing rate and phase of the pyramidal cells that code for place change with respect to theta oscillations [35]. Theta oscillations (4-10 Hz) are observed in rats during navigation and rapid eye movement (REM) sleep [29]. During exploration hippocampal place cells shift their phase of firing to earlier phases of the theta oscillation

Edinburgh Research Explorer

Nested gamma oscillations may enable temporal codes that operate relative to the theta cycle to be superimposed upon firing rate codes (Buzsaki and Wang, 2012; Lisman, 2005). For temporal codes that require predictable reference signals (Fries, 2009; Lisman, 2005), multiplexing of rate and phase codes is likely to be particularly effective if gamma

Interplay of Intrinsic and Synaptic Conductances in the

Our network models can exhibit sinusoidal oscillations, as well as fully-blown, non-linear oscillations with highly synchronous firing. While we have studied a broad parameter space, our main focus is on the latter regime, as it more closely resembles the highly synchronous firing of basket interneurons during gamma-activated

ORAL PRESENTATION Open Access Contrast-dependent modulation

unit firing rate. In addition, the model exhibits realistic single unit behavior across a range of inputs. In terms of the frequency shift, we have observed remarkable scaling behaviour: while the frequency of oscillations changes dramatically with input, the absolute average phase at which inhibitory and excitatory neurons fire in each

RESEARCH ARTICLE Open Access Optogenetic activation of

can replicate gamma oscillations impairment as observed in Alzheimer s disease mouse models in vivo [5 8]. Fig. 1 AβO 1 42 impairs in vivo-like, optogenetically induced theta-nested gamma oscillations in hippocampal slices. a Western blot of SDS-PAGE showing AβO

Encoding of Naturalistic Stimuli by Local Field Potential

oscillations in Electro-Encephalogram (EEG) and Local Field Potential (LFP) recordings which span a very broad frequency spectrum, ranging from a fraction of a Hz to well over 100 Hz. Oscillations in the gamma band (30 100 Hz) have elicited a great deal of attention because they are robustly triggered and

BuschmanHHS Public Access 1,4, and Earl K. Miller1,† #1 #1,2 3 1

items. Beta oscillations (20-35 Hz) also occurred in brief, variable bursts but reflected a default state interrupted by encoding and decoding. Only activity of neurons reflecting encoding/decoding correlated with changes in gamma burst rate. Thus, gamma bursts could gate access to, and prevent sensory interference with, working memory.

Gamma Oscillations in a Nonlinear Regime: A Minimal Model

Gamma Oscillations in a Nonlinear Regime 2977 5 ms 5 kHz 1 mV Firing rate Phasic IPSP B T Inhibitory synapses A Inputs IF neurons Figure 1: Network and typical ensemble oscillation. (A) Sketch of the network. Neurons receive steady heterogeneous current inputs as well as inhibitory synapses modeled as either currents or conductances. (B) Top


other researchers have suggested memory models that rely on locked to 7.3 Hz theta oscillations. This firing rate of the neuron phase locked to gamma

Movement-related coupling of human subthalamic nucleus spikes

Importantly, increased gamma phase coupling occurred independent of changes in mean STN firing rates, and the relative timing of STN spikes was offset by half a gamma cycle for ipsilateral vs. contralateral movements, indicating that relative spike timing is as relevant as firing rate for understanding cortico-basal ganglia information transfer.

What do you notice?

Increases in firing rate in presynaptic neurons elicits smaller EPSPs in postsynaptic neurons. The resulting influence on the membrane potential of the postsynaptic cell plateaus, limiting the presynaptic neuron s ability to alter activity in the postsynaptic cell via changes in firing rate. Models for communication between neuron groups

Feedback Inhibition Enables Theta-Nested Gamma Oscillations

illustrating gamma oscillations nested within each theta cycle. The field recording is also shown band-pass filtered to separate theta and gamma activity. (B) Scalograms of field (top) and synaptic (bottom) activity corresponding to data in (A), plotting power for each frequency as a function of time.

Noise promotes independent control of gamma oscillations and

gamma oscillations and spatial computation by neurons in layer 2 of the medial entorhinal cortex (MEC) (Pastoll et al., 2013). The rate-coded firing of grid cells in the MEC is a well-studied feature of

Normal and Pathologic High-Frequency Oscillations

potentials, for example theta (3 8 Hz), gamma (30 80 Hz) and high frequency oscillations (HFOs; 80 600 Hz), correspond with an increase in the rate and synchrony of neuronal firing. Compared to theta and gamma oscillations, networks supporting the generation of HFOs can