6,703 research outputs found
Audiovisual temporal correspondence modulates human multisensory superior temporal sulcus plus primary sensory cortices
The brain should integrate related but not unrelated information from different senses. Temporal patterning of inputs to different modalities may provide critical information about whether those inputs are related or not. We studied effects of temporal correspondence between auditory and visual streams on human brain activity with functional magnetic resonance imaging ( fMRI). Streams of visual flashes with irregularly jittered, arrhythmic timing could appear on right or left, with or without a stream of auditory tones that coincided perfectly when present ( highly unlikely by chance), were noncoincident with vision ( different erratic, arrhythmic pattern with same temporal statistics), or an auditory stream appeared alone. fMRI revealed blood oxygenation level-dependent ( BOLD) increases in multisensory superior temporal sulcus (mSTS), contralateral to a visual stream when coincident with an auditory stream, and BOLD decreases for noncoincidence relative to unisensory baselines. Contralateral primary visual cortex and auditory cortex were also affected by audiovisual temporal correspondence or noncorrespondence, as confirmed in individuals. Connectivity analyses indicated enhanced influence from mSTS on primary sensory areas, rather than vice versa, during audiovisual correspondence. Temporal correspondence between auditory and visual streams affects a network of both multisensory ( mSTS) and sensory-specific areas in humans, including even primary visual and auditory cortex, with stronger responses for corresponding and thus related audiovisual inputs
Delta-mediated cross-frequency coupling organizes oscillatory activity across the rat cortico-basal ganglia network
The brain's ability to integrate different behavioral and cognitive processes relies on its capacity to generate neural oscillations in a cooperative and coordinated manner. Cross-frequency coupling (CFC) has recently been proposed as one of the mechanisms involved in organizing brain activity. Here we investigated the phase-to-amplitude CFC (PA-CFC) patterns of the oscillatory activity in the cortico-basal ganglia network of healthy, freely moving rats. Within-structure analysis detected consistent PA-CFC patterns in the four regions analyzed, with the phase of delta waves modulating the amplitude of activity in the gamma (low-gamma ~50 Hz; high-gamma ~80 Hz) and high frequency ranges (high frequency oscillations HFO, ~150 Hz). Between-structure analysis revealed that the phase of delta waves parses the occurrence of transient episodes of coherence in the gamma and high frequency bands across the entire network, providing temporal windows of coherence between different structures. Significantly, this specific spatio-temporal organization was affected by the action of dopaminergic drugs. Taken together, our findings suggest that delta-mediated PA-CFC plays a key role in the organization of local and distant activities in the rat cortico-basal ganglia network by fine-tuning the timing of synchronization events across different structures
Synchronously-pumped OPO coherent Ising machine: benchmarking and prospects
The coherent Ising machine (CIM) is a network of optical parametric oscillators (OPOs) that solves for the ground state of Ising problems through OPO bifurcation dynamics. Here, we present experimental results comparing the performance of the CIM to quantum annealers (QAs) on two classes of NP-hard optimization problems: ground state calculation of the Sherrington-Kirkpatrick (SK) model and MAX-CUT. While the two machines perform comparably on sparsely-connected problems such as cubic MAX-CUT, on problems with dense connectivity, the QA shows an exponential performance penalty relative to CIMs. We attribute this to the embedding overhead required to map dense problems onto the sparse hardware architecture of the QA, a problem that can be overcome in photonic architectures such as the CIM
Soft-Error Rate of Advanced SRAM Memories: Modeling and Monte Carlo Simulation
International audienc
System and IC level analysis of electrostatic discharge (ESD) and electrical fast transient (EFT) immunity and associated coupling mechanisms
The exposure of electronic circuits to lightning, electrostatic discharge (ESD), electrical fast transients (EFT) or sine wave signals can reveal RF immunity problems. Typical problems include temporary malfunctions or permanent damage of integrated circuits (ICs). In an effort to reproduce those disturbances, a series of electromagnetic compatibility standards has been developed. However, a complete understanding of the root cause of the immunity problems has yet to be established. This dissertation discusses immunity problems in three papers, starting at the system level, via the coupling path into the IC --Abstract, page iv
Analysis and Design of Resilient VLSI Circuits
The reliable operation of Integrated Circuits (ICs) has become increasingly difficult to
achieve in the deep sub-micron (DSM) era. With continuously decreasing device feature
sizes, combined with lower supply voltages and higher operating frequencies, the noise
immunity of VLSI circuits is decreasing alarmingly. Thus, VLSI circuits are becoming
more vulnerable to noise effects such as crosstalk, power supply variations and radiation-induced
soft errors. Among these noise sources, soft errors (or error caused by radiation
particle strikes) have become an increasingly troublesome issue for memory arrays as well
as combinational logic circuits. Also, in the DSM era, process variations are increasing
at an alarming rate, making it more difficult to design reliable VLSI circuits. Hence, it
is important to efficiently design robust VLSI circuits that are resilient to radiation particle
strikes and process variations. The work presented in this dissertation presents several
analysis and design techniques with the goal of realizing VLSI circuits which are tolerant
to radiation particle strikes and process variations.
This dissertation consists of two parts. The first part proposes four analysis and two
design approaches to address radiation particle strikes. The analysis techniques for the
radiation particle strikes include: an approach to analytically determine the pulse width
and the pulse shape of a radiation induced voltage glitch in combinational circuits, a technique
to model the dynamic stability of SRAMs, and a 3D device-level analysis of the
radiation tolerance of voltage scaled circuits. Experimental results demonstrate that the proposed techniques for analyzing radiation particle strikes in combinational circuits and
SRAMs are fast and accurate compared to SPICE. Therefore, these analysis approaches
can be easily integrated in a VLSI design flow to analyze the radiation tolerance of such
circuits, and harden them early in the design flow. From 3D device-level analysis of the radiation
tolerance of voltage scaled circuits, several non-intuitive observations are made and
correspondingly, a set of guidelines are proposed, which are important to consider to realize
radiation hardened circuits. Two circuit level hardening approaches are also presented
to harden combinational circuits against a radiation particle strike. These hardening approaches
significantly improve the tolerance of combinational circuits against low and very
high energy radiation particle strikes respectively, with modest area and delay overheads.
The second part of this dissertation addresses process variations. A technique is developed
to perform sensitizable statistical timing analysis of a circuit, and thereby improve the
accuracy of timing analysis under process variations. Experimental results demonstrate that
this technique is able to significantly reduce the pessimism due to two sources of inaccuracy
which plague current statistical static timing analysis (SSTA) tools. Two design approaches
are also proposed to improve the process variation tolerance of combinational circuits and
voltage level shifters (which are used in circuits with multiple interacting power supply
domains), respectively. The variation tolerant design approach for combinational circuits
significantly improves the resilience of these circuits to random process variations, with a
reduction in the worst case delay and low area penalty. The proposed voltage level shifter
is faster, requires lower dynamic power and area, has lower leakage currents, and is more
tolerant to process variations, compared to the best known previous approach.
In summary, this dissertation presents several analysis and design techniques which
significantly augment the existing work in the area of resilient VLSI circuit design
Neurosystems: brain rhythms and cognitive processing
Neuronal rhythms are ubiquitous features of brain dynamics, and are highly correlated with cognitive processing. However, the relationship between the physiological mechanisms producing these rhythms and the functions associated with the rhythms remains mysterious. This article investigates the contributions of rhythms to basic cognitive computations (such as filtering signals by coherence and/or frequency) and to major cognitive functions (such as attention and multi-modal coordination). We offer support to the premise that the physiology underlying brain rhythms plays an essential role in how these rhythms facilitate some cognitive operations.098352 - Wellcome Trust; 5R01NS067199 - NINDS NIH HH
Error Mitigation Using Approximate Logic Circuits: A Comparison of Probabilistic and Evolutionary Approaches
Technology scaling poses an increasing challenge to the reliability of digital circuits. Hardware redundancy solutions, such as triple modular redundancy (TMR), produce very high area overhead, so partial redundancy is often used to reduce the overheads. Approximate logic circuits provide a general framework for optimized mitigation of errors arising from a broad class of failure mechanisms, including transient, intermittent, and permanent failures. However, generating an optimal redundant logic circuit that is able to mask the faults with the highest probability while minimizing the area overheads is a challenging problem. In this study, we propose and compare two new approaches to generate approximate logic circuits to be used in a TMR schema. The probabilistic approach approximates a circuit in a greedy manner based on a probabilistic estimation of the error. The evolutionary approach can provide radically different solutions that are hard to reach by other methods. By combining these two approaches, the solution space can be explored in depth. Experimental results demonstrate that the evolutionary approach can produce better solutions, but the probabilistic approach is close. On the other hand, these approaches provide much better scalability than other existing partial redundancy techniques.This work was supported by the Ministry of Economy and Competitiveness of Spain under project ESP2015-68245-C4-1-P, and by the Czech science foundation project GA16-17538S and the Ministry of Education, Youth and Sports of the Czech Republic from the National Programme of Sustainability (NPU II); project IT4Innovations excellence in science - LQ1602
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