Journal: Sensors (Basel, Switzerland)

Article Title: A Hardware-Deployable Neuromorphic Solution for Encoding and Classification of Electronic Nose Data

doi: 10.3390/s19224831

Figure Lengend Snippet: Block diagram of the proposed model using Akida spiking neural network (SNN).

Article Snippet: The SNN was implemented using BrainChip’s Akida Development Environment (ADE) [ ], a Python-based emulation of the Akida neuromorphic system-on-chip (NSoC) [ ].

Techniques: Blocking Assay

Journal: Sensors (Basel, Switzerland)

Article Title: A Hardware-Deployable Neuromorphic Solution for Encoding and Classification of Electronic Nose Data

doi: 10.3390/s19224831

Figure Lengend Snippet: Block diagram representation of the Akida SNN implementation.

Article Snippet: The SNN was implemented using BrainChip’s Akida Development Environment (ADE) [ ], a Python-based emulation of the Akida neuromorphic system-on-chip (NSoC) [ ].

Techniques: Blocking Assay

Journal: Sensors (Basel, Switzerland)

Article Title: Application of Neuromorphic Olfactory Approach for High-Accuracy Classification of Malts

doi: 10.3390/s22020440

Figure Lengend Snippet: Block diagram of the Akida NsoC consisting of an event encoder, onboard CPU, and the Akida Neuron Fabric. Published with copyright permission from Brainchip Inc.

Article Snippet: The Akida neuromorphic framework by Brainchip implements these core concepts in the form of a digital neuromorphic system-on-a-chip (NSoC) [ ] and the Akida Execution Engine (AEE), a Python-based chip emulator and key component of the Akida MetaTF ML framework (link— https://doc.brainchipinc.com accessed on 15 November 2021) for development and simulation of the behavior of the SNNs supported by the event domain neural processor.

Techniques: Blocking Assay

Journal: Sensors (Basel, Switzerland)

Article Title: Application of Neuromorphic Olfactory Approach for High-Accuracy Classification of Malts

doi: 10.3390/s22020440

Figure Lengend Snippet: Comparative analysis of the proposed approach and other statistical machine learning classifiers’ classification performance.

Article Snippet: The Akida neuromorphic framework by Brainchip implements these core concepts in the form of a digital neuromorphic system-on-a-chip (NSoC) [ ] and the Akida Execution Engine (AEE), a Python-based chip emulator and key component of the Akida MetaTF ML framework (link— https://doc.brainchipinc.com accessed on 15 November 2021) for development and simulation of the behavior of the SNNs supported by the event domain neural processor.

Techniques: Plasmid Preparation