Computation hierarchy for in-network processing

Explored the latency and energy tradeoffs introduced by the heterogeneity of sensor nodes in the netework

Auditory Processing under Steady State Visual Driving

Neuronal oscillations are considered crucial for information processing in the brain as they can potentially regulate information flow and dynamically bind different cortical and non-cortical regions. This MEG study investigated whether the effect of a transient sound was modulated by the phase of oscillations in the visual cortex. To induce steady state oscillations in the visual cortex, we presented subjects with continuous visual signals luminance-modulated at 4Hz or 10Hz. The transient sounds were presented locked to four phases of the periodic visual stimulus (i.e. 0, 1 2, , 3 4). We then investigated whether the effect of sound depends on the phase of the visual steady state activity by testing for the interaction between sound and visual phase. Conversely, we will investigate the effect of the sound processing on the visual steady state processing given the state of the visual cortex. The results from the two experiments (4Hz 10Hz) will be combined and compared. Based on recent neurophysiological evidence, we hypothesize that oscillations at different frequencies play distinct functional roles in multisensory integration

Interactions between Transient Auditory and Steady State Visual Stimuli

Neuronal oscillations are considered crucial for information processing in the brain as they can potentially regulate information flow and dynamically bind different cortical regions. This MEG study investigated the interactions between a transient sound and a steady state visual signal. To induce steady state oscillations in the visual cortex, we presented subjects with a continuous visual signal that was luminance-modulated at 10Hz. The transient sounds were presented locked to four different equidistant phases of the periodic visual stimulus (i.e. 0, pi, pi, pi). More specifically, our experimental design factorially manipulated (i) the presence/absence of the auditory input and (ii) the phase of the visual input thus providing four types of phase-dependent AV(a) and V(a) trials, where a denotes the specific phase of the visual stimulus In addition, the design included pure auditory (A) and ’fixation’ trials. This allowed us to dissociate non-specific and specific phase-dependent audiovisual interactions. Non-specific interactions were identified by comparing AV(a) + Fixation vs A + V(a). In the frequency domain, this revealed increased activity and phase locking at 10 Hz during the audiovisual conditions. Specific phase-dependent interactions [AV(a) 4 V(a)] were revealed in the time domain at about 300 ms poststimulus, where activity was enhanced mainly for synchronous audiovisual trials (phase 0). Collectively, our results suggest that auditory transients and visual steady signals interact in a non-specific and in a phase-dependent fashion

Hierarchical In-Network Processing

There is a rich diversity of sensor platforms that are currently available. The platforms cover a large range of MIPS, which is a metric that measures the rate of instruction execution in processors. Also, some of them have specialized architectures (for e.g. DSP, custom H/W on FPGA) which make them efficient for a certain class of applications. However, a single platform alone is not scalable to the large dynamic range of the computational complexity of the sensor network applications..